Piramal Enterprises - Data Solution Architect - ETL/Data Warehousing

Responsibilities :

- Design, develop, and maintain robust ETL and data integration pipelines to ensure efficient data flow across systems.

- Build and manage data assets that support downstream teams such as Data Visualization, Data Science, and MLOps.

- Identify and architect solutions requiring near real-time data processing to meet business and analytical needs.

- Translate business problems into scalable and well-defined data models and assets that drive decision-making.

- Collaborate with stakeholders across departments to gather requirements, ensure alignment, and deliver actionable insights.

- Integrate AI and automation into existing data workflows to enhance efficiency and innovation.

- Mentor and train new team members, fostering a culture of learning and continuous improvement within the data engineering team.

Requirements :

- Experience : 4-8 years of hands-on experience as a Data Engineer or in a similar role.

- Proficiency in SQL and experience with data warehouses (e. g., Snowflake).

- Experience with big data processing frameworks like Apache Spark.

- Strong programming skills in Python, Scala, or Java.

- Experience with cloud platforms (AWS, Azure, or GCP) and familiarity with data services like AWS Glue, Redshift, or BigQuery.

- Knowledge of Data architecture, data modeling, ETL processes, and data warehousing concepts.

- Familiarity with CI/CD pipelines and version control (e. g., Git).