Job Description:

Job Title: Data Engineer

Location: Mumbai (Onsite)

Experience: 48 Years

About the Role:

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines that support analytics, reporting, and AI-driven initiatives. The ideal candidate should have strong expertise in data engineering, ETL/ELT processes, cloud platforms, and performance optimization, with a focus on building reliable and cost-efficient data solutions.

Key Responsibilities:

- Design, develop, and maintain robust data pipelines and data integration workflows.

- Build scalable ETL/ELT processes for structured and unstructured data sources.

- Optimize data pipelines for performance, reliability, scalability, and cost efficiency.

- Develop and maintain data models, data warehouses, and lakehouse architectures.

- Ensure data quality, governance, security, and compliance across platforms.

- Collaborate with Data Scientists, AI Engineers, and Business teams to operationalize data for AI/ML use cases.

- Monitor, troubleshoot, and enhance data platform performance and availability.

- Implement automation, orchestration, and CI/CD practices for data engineering workflows.

- Support real-time and batch data processing requirements.

Required Skills:

- Strong experience in Data Engineering and large-scale data processing.

- Proficiency in Python, SQL, and ETL/ELT development.

- Hands-on experience with Apache Spark / PySpark.

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Knowledge of Data Warehousing, Data Lakes, and Lakehouse architectures.

- Experience with data orchestration tools such as Airflow, ADF, or similar.

- Strong understanding of data modeling, performance tuning, and query optimization.

- Experience with version control and CI/CD practices.