Senior Data Engineer

Overview

Data Engineer with Specific toolset/language knowledge required (7+ years of real experience please):

1. Snowflake

2. FiveTran

3. Python

4. DBT

5. PowerBI

6. DataGrip

Expectations:

• Validates correctness and completeness of requirements defined by product owners, implements data logic, and ensures it is adequately tested and of high quality for at least one service within a team.
• System design and features are written to account for security, performance, reliability and maintainability.
• Produces complete system designs that require minimal changes from Principal DEs.
• Deeply understands Data Engineering fundamentals including data infrastructure, algorithms, pipelines, modeling, transformations, and validation tests. Independently applies these concepts to business problems.
• Writes clean, maintainable data logic in at least two languages or at least two techniques in a single language, including reshaping normalized, semi-structured, or non-structured data.
• Independently delivers end-to-end data architecture & pipelines of medium complexity with minimal guidance from manager or Staff/Principal DEs.
• Understands tradeoffs between different technology choices, applies those tradeoffs with high judgment, and advocates convincingly on their behalf
• Able to work independently with system owners and developers to advise, support, and deliver system-to-system data connections.
• Contributes to the team’s on call rotation, addresses the root causes of operational issues.
• Contributes to the definition of team level processes, including engineering best practices for their team.
• Contributes functionality and process improvement to data infrastructure.
• Mentors and grows junior engineering talent within their team. Sought out by other team members for advice on engineering approach and best practices

Job Type: Full-time

Pay: Up to ₹120,000.00 per year

Schedule:

• Day shift

Work Location: In person