ETL Python Data Engineering Associate – Gurgaon

Full-time @BlackRock in Technology jobs
  • Gurgaon, IN View on Map
  • Apply Before : January 9, 2023
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Job Description

Join leading Investment management company BlackRock as ETL Python Data Engineering Associate in Gurgaon, IN. refer job details to submit BlackRock job application in Gurgaon.

 

Job Title : ETL Python Data Engineering Associate

Location : Gurgaon, IN

Job Category: Technology

 

Description

About this role

About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being! Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes, and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress!
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued, and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit careers.blackrock.com | www.blackrock.com/corporate | Instagram: @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.
Our Benefits
To help you stay energized, engaged, and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Technology & Operations
Technology & Operations is the backbone for both the client lifecycle and the investment lifecycle. The group’s Follow the Sun Model ensures that the firm’s operations are consistent and efficient across all investment products, client channels and regions, helping to deliver a superior client experience and drive scalability. Technology & Operations is driven by a global network of Operating Centers of Excellence, which centralizes knowledge and equips support teams with the data and timely information needed to innovate and deliver on behalf of internal partners and clients.
BlackRock’s Technology & Enterprise Service Group aims to provide BlackRock Employees with robust technology infrastructure and strategic workplace solutions to deliver a consistent employee experience around the world, while handling information security and data integrity. Teams aligned to support the firm’s functions.
As a Data Engineer Associate, you will:

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.

What You’ll Need:

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.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work pilot

BlackRock’s current hybrid work pilot is designed to help you experience the best of both worlds: the opportunity to connect with colleagues in person and the flexibility to work remotely, with greater time to focus on what’s important to you. In line with local health guidance and regulations, employees are generally expected to work 3 days in the office and 2 days from home (on average) each week. For some business groups, more time may be required in the office, while greater flexibility may be in place for others. Our “One BlackRock” culture means you’ll be supported to collaborate with your new colleagues while bringing your full self to work – wherever you are.

The health, safety and well-being of our people will always be our top priorities; we will continue to monitor local conditions and health advisories in making decisions about our work environments.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit careers.blackrock.com | www.blackrock.com/corporate | Instagram: @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

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