Senior Data Engineer

Position: Senior Data Engineer

Type: Fulltime

Location : Chennai (Work from Office)

Experience Required:

Technical Skillset

• Data Platforms:

  Snowflake (expert-level experience in data modeling, performance tuning, and query optimization)

• ETL/ELT Tools:

  FiveTran (data ingestion and integration)

• Programming Languages:

  Python (data processing, automation, API integration)

• Data Transformation:

  DBT (data modeling, testing, documentation)

• Visualization & Reporting:

  Power BI (dashboard creation, DAX, Power Query)

• Database Tools:

  DataGrip (SQL development and database administration)

Key Responsibilities

1. Requirement Validation & Implementation

• Validate correctness and completeness of requirements from Product Owners.
• Implement scalable and maintainable data logic with comprehensive testing for high-quality deliverables.

1. System Design & Development

• Create system designs with strong considerations for

  security, performance, reliability, and maintainability

  .
• Produce robust designs requiring minimal revisions from Principal Data Engineers.

1. Data Engineering Expertise

• Apply deep knowledge of data infrastructure, algorithms, pipelines, data modeling, transformations, and validation tests to solve business problems.
• Deliver

  end-to-end data architecture and pipelines

  of medium complexity with minimal guidance.

1. Coding & Data Handling

• Write clean, maintainable data logic in at least two languages, or multiple techniques within a single language.
• Handle normalized, semi-structured, and unstructured data effectively.

1. Technology Decision-Making

• Understand trade-offs between different technology choices, make informed decisions, and advocate effectively.

1. Collaboration & Integration

• Work with system owners and developers to establish system-to-system data connections.
• Contribute to team on-call rotation and address root causes of operational issues.

1. Process & Infrastructure Improvement

• Contribute to defining team-level processes and engineering best practices.
• Enhance data infrastructure functionality and processes.

1. Mentorship & Knowledge Sharing

• Mentor junior engineers and be sought after for advice on engineering approaches and best practices.

Qualifications

• Minimum 7 years

  of real-world experience in data engineering roles.
• Proven track record in building and optimizing large-scale data pipelines.
• Strong communication skills and ability to work independently as well as in cross-functional teams.
• Experience in designing and implementing secure, high-performance, and reliable data solutions.