-
ID
#44945992 -
Job type
Permanent -
Salary
TBD -
Source
BlackRock -
Date
2022-08-16 -
Deadline
2022-10-15
Data Engineering Associate - ATL
Georgia, Atlanta, 30326 Atlanta USAPermanent
Vacancy expired!
- Participate in the full lifecycle of ETL software development - analysis, design, build, documentation, and testing.
- Drive the onboarding and attribution of newly acquired data sets into our database environment; manage all aspects of the loading process; supervise attribution throughout the process and identify ways to optimize the process each cycle
- Identify, investigate, and resolve data discrepancies by finding the root cause of issues; work with partners across various multi-functional teams to prevent future occurrences
- Proactively look for opportunities to optimize the data loading structure and develop innovative approaches to improve the onboarding and integrity of the data
- Provide basic reporting and respond to inquiries asking for insights about the data sets from senior partners, in a timely fashion
- Create and execute unit tests on all solutions, work with Data analysts and QA engineers to ensure product and integrations tests are complete.
- Work with the release manager, data analysts, and prod ops team to ensure solutions are well tested, production ready and well documented.
- 5-8 years of experience in the financial services sector, preferably at a top-tier asset manager, investment bank, or management consulting in a data-driven role, or at a technology firm
- Strong multi-functional experience in data management, on-boarding, and attribution of large data sets
- Ability to interpret data to help in strategic decision making and demonstrable problem-solving, quantitative, and analytical skills, strategic and creative thinking
- Ability to clearly articulate and present ideas both in writing and verbally; to senior management as well as outside audiences
- Experience in working on long-term projects and iterative development cycles where constant improvement is expected
- Able to work optimally under pressure and in a rapidly changing environment to meet deadlines
- Focused attention to detail and high standards for quality and accuracy in his/her work product
- Professional, positive demeanor
- Collaborative, team-oriented, service-oriented
- Bachelor's Degree, Computer Science, or related field preferred
- 4-8 year's experience in Big data/Stream data related technologies with Apache Spark (Core, SQL, and Streaming) using Python is required. Proficiency with Hadoop, MapReduce, HDFS etc.
- 3 - 5 years of experience working with no-SQL databases like Cassandra, MongoDB etc is required. Experience in relational databases in data modeling and development with demonstrated strength in SQL, and stored procedures is helpful.
- Preferable to have Informatica development experience.
- Preferable to have some experience with Microsoft Azure.
Vacancy expired!
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