Role Overview

We are looking for a Data Engineer to design, build, and scale our data infrastructure. You will work closely with data scientists, product managers, and software teams to ensure clean, high-quality data is readily available for analytics and decision-making.

Key Responsibilities

- Pipeline Development: Design, build, and maintain scalable Extract, Transform, Load (ETL) and ELT data pipelines.

- Data Architecture: Build and manage data warehouses, data lakes, and relational/non-relational databases.

- Data Quality &
- Governance:

Implement automated data validation, error-checking, and monitoring systems to ensure data accuracy and compliance (e.g., GDPR).

- Performance Optimization: Tune queries, storage, and processing workflows to handle large volumes of structured and unstructured data efficiently.





- Cross-Functional Collaboration: Partner with data science and business intelligence teams to support data-driven products and reporting dashboards.

Required Skills &

- Qualifications

- Programming Languages: Proficiency in Python, Java, or Scala.

- Database &
- Query Skills:

Strong command of SQL and database design.

- Big Data &

- Cloud Tools:

Experience with cloud ecosystems (such as AWS, Azure, or GCP) and big data frameworks (such as Apache Spark, Kafka, or Hadoop).

Pay: ₹50,000.00 - ₹80,000.00 per month

Benefits

- Adaptable schedule

- Provident Fund

Work Location: Hybrid remote in Mumbai, Maharashtra 400018

📌 Sr. Data Engineer (Mumbai)
🏢 eClerx
📍 Mumbai