3 Days Left Senior Data Engineer

4 weeks ago

Chennai, Tamil Nadu, India Excelencia Full time
Position: Senior Data Engineer

Type: Fulltime

Location : Chennai (Work from Office)

Experience Required: 7+ years, hands-on experience

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.

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