Data Engineer 641816BR Why Kyndryl Kyndryl is a market leader that thinks and acts like a start-up. We design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers, and our communities. We invest heavily in you not only through learning, training, and career development, but also through the flexible working practices and stellar benefits that help you grow and progress long-term. And we give back from planting 90,000 trees in our first 3 months as part of our One Tree Planted initiative to the Corporate Social Responsibility and Environment, Social and Governance practices embedded within everything we do, we are committed to powering human progress in an ethical, sustainable way. Your Role and Responsibilities Are you a technologist that can develop manage and provide Data Engineering? Are you interested in contributing to a team focused on Data Architecture and helping customers pivot their existing legacy data solutions for Modern Data Warehousing, Including Data Lake Ingestion and Data Modeling and Data Engineering? If so, we'd love to hear from you! Kyndryl is looking for an experienced Data Engineer for our Data and AI Practice Participate in evaluation of supporting technologies and industry best practices with our cloud partners and peer teams Lead Modern Data Warehouse Solutions and Sizing efforts to create defined plans and work estimates for customer proposals and Statements of work Conduct full technical discovery, identifying pain points, business, and technical requirements, as is and to be scenarios! Lead client discovery to identify business and technical requirements and identify risk or potential issues Evaluate the full technology stack of services required including PaaS, IaaS, SaaS, DataOps, operations, availability, and automation. Research, design, and develop Public & Private Data Solutions, including impacts to enterprise architecture Technical Experience Designing, Developing, Deploying and / or Migrating to AZURE, AWS, and other leading data environments Work with Sales teams to identify and qualify opportunities hosted by Azure, AWS, and other Data Services Lead the discussions of cloud concepts as it relates to Kyndryl’s Cloud methodology so that clear offerings are developed and implemented with focus on success. Day-to-Day activities Provide technical leadership specific to data architecture and solutions design Designing solutions to meet the needs and business goals of customers Mentor and assist team members with Knowledge transfer and technical leadership Contribute where you time is most needed and provides the most benefit Stay Current with technology, Kyndryl abilities and market trends. How the position fits into Kyndryl Data Engineer is an excellent technologist that, would be able to develop and extend data ingestions using both ELT / ETL data movement pipelines They should be able to deliver an ingestion framework for relational data sources, understand layers and rules of a data lake and carry out all the tasks to operationalize data pipelines A data engineer uses, Synapse Workspace, Synapse Pipelines, Data Factory Pipelines, Data Bricks notebooks, Synapse Data Lakes, Synapse Spark, Synapse SQL Pools, Synapse Serverless Pools, Purview and other data solutions Coding skills should be including proficiency in SQL, Spark languages such as Python and PySpark and or Scala Should understand Modern Data Warehouse Designs Data Engineer would support the Data Architect and supplement data modeling, skills under some circumstances. It would be great if the was familiar with other data tools such as Informatica and or Talend Also familiar with Streaming Sources and loading raw data from stream sources using Kafka and or Stream Analytics If you are hired, the anticipated compensation range for the position $148,490 to $296,980 is based on a full-time schedule. Your ultimate compensation may vary depending on your geography, job-related skills, and experience. For part time roles, the compensation will be adjusted appropriately. If this is a sales role, you may be eligible for additional incentive compensation opportunities. For non-sales roles, you may be eligible for Kyndryl’s Growth Driven Profit-Sharing plan. Required Technical and Professional Expertise In depth knowledge of Azure and / or AWS cloud hosting architecture with experience with AZURE and AWS is a bonus In depth knowledge of Windows and Linux Operating Systems Azure, AWS, or GCP based Cloud Architecture and migration skills and experience Experience depicting complex technology architectures pictorially using tools like Visio, Draw.IO, Lucid Charts, etc Getting data that is compatible with your business needs Creating algorithms to convert data into actionable, useful information Developing ELT and ETL Author Transformation using a Spark Language (Pyspark, Scala, Ect) Constructing and generating infrastructure automate object ingestion Preparing raw data to be used by data scientists Preparing curated data for discovery and for operationalizing a data load of a data model Debugging Pipelines Planning scheduling orchestration of copy / ELT and ETL pipelines using tools such as Airflow / Data Factory / Synapse Collaborating in CICD pipelines using publishing procedures and checking code in Experience with system development in cloud environments, including Software as Service (SaaS), Platform as Service (PaaS), or Infrastructure as Service (IaaS) Must have experience driving for engineering solutions and working across teams Exceptional judgment and decision-making abilities Familiar with a variety of IT concepts, practices, and procedures Extensive experience and judgment to plan and accomplish goals Ability to apply general rules to specific problems to produce conclusions and responses Ability to communicate effectively, both verbal and written Strong process improvement experience Strong analytical and problem-solving skills with high attention to detail 5+ years within specific technology domain areas. e.g., software development, cloud computing, systems Preferred Technical and Professional Experience Strong process improvement experience Strong analytical and problem-solving skills with high attention to detail Experience assisting with the design of Cloud foundation capabilities, shared services, associated guardrails, and governance 7+ years enterprise data solutions 5+ years of hands-on experience in at least one of the following : in Modern Data Warehousing, Data Lake Ingestion, Data ops practices Required Education Bachelor's Degree Preferred Education Bachelor's Degree Country / Region United States State / Province New York City / Township / Village New York Being You @ Kyndryl Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily : Our Kyndryl Inclusion Networks (KINs) are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you and everyone next to you the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. Other things to know Kyndryl offers a wide range of resources for eligible employees to thrive both inside and outside of work. In addition to a competitive benefits program consisting of medical and life insurance, retirement plans, and time off, eligible employees may also have access to : ·12 weeks of paid parental bonding leave. Well-being programs to support mental and physical health. ·Financial programs that empower you to plan, save, and manage your money. Discounts on retail products, services, and experiences. We consider qualified applicants with criminal histories, consistent with applicable law. Kyndryl will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship. Primary job category Architect Role ( Job Role ) Solution Architect Employment Type Full-Time Contract type Regular Position Type Professional Travel Required Some travel may be required based on business demand Company Y078) Kyndryl, Inc. Is this role a commissionable / sales incentive based position? Data Engineer Kyndryl Careers

Our client is looking Data Engineer for Long Term project in Bloomfield CT, New York NY, Austin TX, Chicago IL (Initial Remote) below is the detailed requirements. Job Title : Data Engineer Duration : Long Term W2 Tax Term Job description : Bachelor's degree in Computer science or equivalent, with minimum 9+ years of relevant experience . Must have experience with Pyspark, Python, Angular, SQL, Azure Databricks, Metadata. Knowledge of at least one component : Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQL Expertise in ETL, API development, Microservices design and Cloud deployment solutions Experience in RESTful APIs using message formats such as JSON and XML Experience in integration technologies such as Kafka Experience in Python and frameworks such Flask or Django Experience in RDBMS and NoSQL databases Good understanding of SQL, T-SQL and / or PL / SQL Hands-on experience developing applications on AWS and / or Openshift Automation Skills using Infrastructure as Code Familiarity with creating web applications using AngularJS or React Familiarity with creating benchmark tests, designing for scalability and performance, and designing / integrating large-scale systems. Familiarity with building cloud native applications, knowledge on cloud tools such Kubernetes and Docker containers Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers. Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail. Strong work ethic with good time management with ability to work with diverse teams and lead meetings.

Overview LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies. This position is remote but may require travel to a client site in Washington, DC (Georgetown)* Responsibilities As a Data Engineer you will help develop and deploy technical solutions to solve our customers’ hardest problems, using various platforms to integrate data, transform insights, and build first-class applications for operational decisions. You will leverage everything around you : core customer products, open source technologies (e.g. GHE), and anything you and your team can build to drive real impact. In this role, you work with customers around the globe, where you gain rare insight into the world’s most important industries and institutions. Each mission presents different challenges, from the regulatory environment to the nature of the data to the user population. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers. Core Responsibilities Setup transfers of data feeds from source systems into location accessible to Foundry and integrate with existing data utilizing enterprise architecture best practices Debug issues related to delayed or missing data feeds Monitor build progress and debug build problems in conjunction with deployment teams Using Foundry’s application development framework to design applications that address operational questions Rapid development and iteration cycles with SME’s including testing and troubleshooting application issues Executing requests for information (RFI’s) surrounding the platform’s data footprint Qualifications Bachelor’s degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline (Master’s degree preferred) Preferred : Interim or Active DoD Secret clearance. Strong engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science. Proficiency with programming languages such as Python (Pyspark, Pandas) SQL, R, JavaScript, or similar languages. Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections At least 9 years of experience in the field Ability to work effectively in teams of technical and non-technical individuals. Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users. Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision. Proven track-record of strong customer communications including feedback gathering, execution updates, and troubleshooting. LI-SH1 Options Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Need help finding the right job? We can recommend jobs specifically for you! Software Powered by iCIMS

At Fitch, we have an open culture where employees are able to exchange ideas and perspectives, throughout the organization, irrespective of their seniority. Your voice will be heard allowing you to have a real impact. We embrace diversity and appreciate authenticity encouraging an environment where employees can be their true selves. Our inclusive and progressive approach helps us to keep a balanced perspective. Fitch is also committed to supporting its employees by advancing conversations around diversity, equity and inclusion. Fitch’s Employee Resource Groups (ERGs) have been established by employees who have joined together as a workplace community based on similar backgrounds or life experiences. Fitch’s ERGs are available to connect employees with others within the organization to offer professional and personal support. With our expertise, we are not only creating data and information, but also producing timely insights from every angle to influence decision making in this ever changing and highly competitive market. We have a relentless hunger to innovate and unlock the power of human insights and to drive value for our customers. There has never been a better time to make an impact and we invite you to join us on this journey. Fitch Ratings is a leading provider of credit ratings, commentary and research. Dedicated to providing value beyond the rating through independent and prospective credit opinions, Fitch Ratings offers global perspectives shaped by strong local market experience and credit market expertise. The additional context, perspective and insights we provide have helped fund a century of growth and enables you to make important credit judgments with confidence. At Fitch, we have an open culture where employees are able to exchange ideas and perspectives, throughout the organization, irrespective of their seniority. Your voice will be heard allowing you to have a real impact. We embrace diversity and appreciate authenticity, employees work in an environment where they can be their true selves. Our inclusive and progressive approach helps us to keep a balanced perspective. With our expertise, we are not only creating data and information, but also producing timely insights from every angle to influence decision making in this everchanging and highly competitive market. We have a relentless hunger to innovate and unlock the power of human insights and to drive value for our customers. There has never been a better time to make an impact and we invite you to join us on this journey. Fitch is seeking a strong Data Engineer to improve critical data systems used widely by internal and external stakeholders. The ideal candidate is someone who : Has 5+ years of data engineering experience developing large data pipelines Has Strong experience developing in Python.& Java Has Strong Experience with relational SQL and NoSQL databases Roles & Responsibility Build data pipelines and applications to stream and process datasets at low latencies. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, NoSQL, Kafka using AWS Big Data technologies. Collaborate with Data Product Managers, Data Architects, and other Data Engineers to design, implement, and deliver successful data solutions. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Track data lineage, ensure data quality and improve discoverability of data. Work in Agile Environment (Scrum) and interact with multi-functional teams (Product Owners, Scrum Masters, Developers, Designers, Data Analysts) Required Skills Strong experience developing in Python & Java. 5+ years of data engineering experience developing large data pipelines Strong SQL and NoSQL skills and ability to create queries to extract data and build performant datasets. Hands-on experience with message queuing and stream data processing (Kafka Streams). Desirable Skills Experience with relational SQL and NoSQL databases, any RDBMS (Oracle, Postgres) and NoSQL (Cassandra, Mongo, or Redis, etc.). Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data. Strong analytic skills related to working with unstructured datasets. Hands-on experience in using AWS cloud services : EC2, Lambda, S3, Athena, Glue, and EMR Redshift / Snowflake Experience in the Financial Services industry Person specification Excellent problem solving and analytical skills Highly motivated to deliver results and meet deadlines LI-CF1 DICE

Posted byPython US RecruiterFourier has partnered with several World Leading Hedge Funds, Prop Traders, and Market Makers in a search for elite and eager Data Engineers to join them. Our clients are looking for the best data engineers in the industry with a proven track record of delivering scalable and robust data systems and are driven by solving the seemingly unsolvable problems. They are looking for individuals who are driven and motivated but most importantly - excited by Data! Do you love working with Python and have experience managing ETL pipelines, building a scalable distributed data platform or deriving insights from alternative data sets? Do you have an affinity for learning new technologies and always looking to broaden your existing technical knowledge? These clients are at the pinnacle of finance, and therefore leadingpensation packages should be expected. Primary Tech Stack : Python Python Data storage and manipulation tools such as SQL, Pandas, NumPy. Various ETL / ELT Technologies.