04 Sep
|
Weekday AI
|
Pune
Description
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Experience: 1+ yrs
Location: Pune, Maharashtra, India
Job Type: Full-time
We are looking for a motivated and skilled Data Engineer to join our growing data team and build scalable, high-performance data solutions that support business intelligence, analytics, and operational reporting. This role is ideal for professionals with hands-on experience in PySpark, Fivetran, and SQL, along with a passion for designing efficient data pipelines and optimizing up-to-date cloud-based data platforms.
As a Data Engineer, you will be responsible for developing and maintaining ETL/ELT workflows, integrating data from multiple sources, and ensuring high data quality across enterprise systems. You will collaborate with data analysts, architects, and business stakeholders to transform raw data into reliable and actionable insights while continuously improving the performance, scalability, and reliability of data infrastructure.
Requirements
Key Responsibilities
- Design, develop,
and maintain scalable data pipelines using PySpark, Fivetran, and SQL.
- Build and manage ETL/ELT workflows to ingest, transform, and load structured and semi-structured data from multiple data sources.
- Integrate enterprise applications, databases, APIs, and third-party systems into centralized data platforms.
- Develop efficient data transformation logic that ensures data consistency, accuracy, and reliability.
- Write, optimize, and maintain complex SQL queries, stored procedures, and database objects for reporting and analytics.
- Monitor pipeline performance, troubleshoot failures, and resolve data processing issues in production environments.
- Collaborate with business stakeholders, analysts, and data architects to translate business requirements into scalable technical solutions.
- Implement data quality checks, validation processes, and monitoring frameworks to ensure data integrity.
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📌 Data Engineer (Pune)
🏢 Weekday AI
📍 Pune