- Pune, India · Hybrid
- Full-time
- 3–5 years
About the role
We are looking for a Data Engineer to design and build the data pipelines and platforms that feed our analytics and AI products.
Responsibilities
- Design, build and maintain batch and streaming data pipelines (ETL/ELT).
- Integrate data from databases, APIs, files and third-party systems.
- Model and manage data in data warehouses and data lakes.
- Ensure data quality and reliability through testing, monitoring and documentation.
- Optimise pipelines and queries for performance and cost.
- Work with data scientists and AI engineers to prepare data for analytics and machine-learning models.
What we are looking for
- 3–5 years of experience in data engineering.
- Strong SQL and Python skills.
- Experience with distributed data processing such as Apache Spark.
- Experience with workflow orchestration tools such as Apache Airflow.
- Hands-on experience with a cloud data platform (AWS, Azure or GCP) and a warehouse such as Snowflake, BigQuery, Redshift or Databricks.
- A good understanding of data modelling and data warehousing concepts.
Nice to have
- Streaming with Apache Kafka.
- Experience with dbt.
- Experience preparing data for AI/ML, including vector databases or RAG pipelines.
What we offer
- The opportunity to work in a fast-paced product development environment
- Health and accident insurance benefits
- In-house perks and benefits
- A collaborative environment
- Learning and growth opportunities