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Data Engineer

2 months ago

Ann Arbor, United States Mojo Trek Full time

COMPANY DESCRIPTION

Mojo Trek, an Inc. 5000 company, delivers an unparalleled recruitment experience, grounded in transparency and integrity. From midsize technology innovators to Fortune 50 powerhouse corporations, we help our clients build technology teams that make a difference, push the change forward, and develop software critical to their success.


Our client, a Fortune 1000 company, creates software that is used in over 17,000 stores that depend on the technology to ensure consumers and businesses alike can order and operate efficiently. The website and mobile apps developed by the teams consistently challenge the status quo of not only the technology in their field, but beyond.


ADDITIONAL JOB DETAILS

The data engineering specialist will primarily focus on development of large volume information ingestion and transformation. This position is responsible for orchestrating data interfaces into (and out of) our Enterprise Data Warehouse using Talend, SQL, Python and other data engineering solutions.


GENERAL RESPONSIBILITIES

  • Design and develop ETL (Talend) / SQL / Python based processes to perform complex data transformation processes.
  • Design, code, and test major data processing features, as well as work jointly with other team members to provide complex software enhancements for the enterprise data storage platforms (RDBMS, Lakehouse, No-SQL platforms)
  • Build Data Integration solutions to handle batch / streaming / IoT data on ETL, Big-Data platforms.
  • Develop and Deliver changes in the Enterprise Data Warehouse according to Data Warehousing best practices
  • Gather requirements and construct documentation to aid in maintenance and code reuse in accordance with team processes and standards
  • Design, code, and test major data processing features, as well as work jointly with other team members to provide complex software enhancements for the enterprise data storage platforms
  • Monitor scheduled jobs and improve reliability of ongoing processing
  • Monitor, measure, and enhance ways to improve system performance
  • Ability to multi-task deliverables and manage them in an efficient manner.
  • Performs other duties as assigned


QUALIFICATIONS

  • Understanding and Hands-on experience with key technologies (SQL, ETL, Data modeling, data processing)
  • Strong SQL skills with Relational DBMS technology - SQL Server
  • 2-4 yrs Hands-on experience with ETL tools (Talend preferred)
  • Good understanding and expertise in relational database concepts and data processing concepts
  • Experience in handling multiple data formats (Delimited file, JSON, XML etc.)
  • Experience with data lakehouses (Databricks) and cloud technologies (Azure) a plus
  • Hands on experience designing and implementing data ingestion techniques for real time processes (IoT, eCommerce) a plus.
  • Development experience in a Big-Data environment a Plus; Spark, Kafka, Message Queues
  • Experience with shell scripting / Python a plus
  • Strong communication skills (oral and written)
  • Good analytical and problem solving skills
  • Knowledge of CRM, MDM, HR Reporting and Business Intelligence a plus
  • Candidate must be thorough and detail-oriented and a team player
  • Able to work on multiple priorities in a deadline-driven environment