Data Engineering Solutions Architect, Financial Planning and Analytics

4 weeks ago


Gurgaon, Haryana, India Amazon Development Centre (India) Private Limited Full time
About the Role

We are seeking an experienced Data Engineer to join our team at Amazon Development Centre (India) Private Limited. As a Data Engineer, you will be responsible for designing and building scalable big data pipelines to ingest, transform, and publish massive amounts of data at scale.

Key Responsibilities
  • Design and build scalable big data pipelines to ingest, transform, and publish massive amounts of data at scale.
  • Troubleshoot system and data quality issues.
  • Identify bottlenecks with current architecture and propose efficient and long-term solutions.
  • Provide operational support by participating in team's on-call rotations.
  • Mentor junior engineers with respect to development and design standards.
  • Lead projects from initial design through to full implementation.
A Day in the Life

As a Data Engineer on our team, you will work closely with other financial teams to understand their business problems and deliver scalable technical solutions. Your primary customer will always be our CFO, and your day-to-day activities will revolve around solving data engineering problems for transforming our ever-growing financial data.

About the Team

The GFT Data Services team is the data engineering team within Corp FP&A. We enjoy a unique vantage point into everything happening within Amazon. This role would be part of a team that is responsible for Company's enterprise-wide financial planning & analytics environment. The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership.

Requirements

To be successful in this role, you will need:

  • 3+ years of data engineering experience.
  • Experience with data modeling, warehousing, and building ETL pipelines.
  • Experience with SQL.

Preferred qualifications include:

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases).
Salary Range

The salary range for this position is ₹12,00,000 - ₹18,00,000 per annum, depending on experience and qualifications.



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