Senior Data Engineer - Python/Snowflake DB

<p>Position : Senior Data Engineer<br/><br/>Type : Fulltime<br/><br/>Location : Chennai (Work from Office)<br/><br/>Experience Required : 7+ years, hands-on experience<br/><br/>Technical Skillset :<br/><br/>- Data Platforms : Snowflake (expert-level experience in data modeling, performance tuning, and query optimization)<br/><br/>- ETL/ELT Tools : FiveTran (data ingestion and integration)<br/><br/>- Programming Languages : Python (data processing, automation, API integration)<br/><br/>- Data Transformation : DBT (data modeling, testing, documentation)<br/><br/>- Visualization & Reporting : Power BI (dashboard creation, DAX, Power Query)<br/><br/>- Database Tools : DataGrip (SQL development and database administration)<br/><br/>Key Responsibilities :<br/><br/>1.

Requirement Validation & Implementation :<br/><br/>- Validate correctness and completeness of requirements from Product Owners.<br/><br/>- Implement scalable and maintainable data logic with comprehensive testing for high-quality deliverables.<br/><br/>2.

System Design & Development :<br/><br/>- Create system designs with strong considerations for security, performance, reliability, and maintainability.<br/><br/>- Produce robust designs requiring minimal revisions from Principal Data Engineers.<br/><br/>3.

Data Engineering Expertise :<br/><br/>- Apply deep knowledge of data infrastructure, algorithms, pipelines, data modeling, transformations, and validation tests to solve business problems.<br/><br/>- Deliver end-to-end data architecture and pipelines of medium complexity with minimal guidance.<br/><br/>4.

Coding & Data Handling :<br/><br/>- Write clean, maintainable data logic in at least two languages, or multiple techniques within a single language.<br/><br/>- Handle normalized, semi-structured, and unstructured data effectively.<br/><br/>5.

Technology Decision-Making :<br/><br/>- Understand trade-offs between different technology choices, make informed decisions, and advocate effectively.<br/><br/>6.

Collaboration & Integration :<br/><br/>- Work with system owners and developers to establish system-to-system data connections.<br/><br/>- Contribute to team on-call rotation and address root causes of operational issues.<br/><br/>7.

Process & Infrastructure Improvement :<br/><br/>- Contribute to defining team-level processes and engineering best practices.<br/><br/>- Enhance data infrastructure functionality and processes.<br/><br/>8.

Mentorship & Knowledge Sharing :<br/><br/>- Mentor junior engineers and be sought after for advice on engineering approaches and best practices.<br/><br/>Qualifications :<br/><br/>- Minimum 7 years of real-world experience in data engineering roles.<br/><br/>- Proven track record in building and optimizing large-scale data pipelines.</p> (ref:hirist.tech)