Location: Pune (Baner)
Experience: 5 to 8 years
Employment Type: Full-time

We are looking for a skilled Data Engineer with strong hands-on experience in building and managing scalable data pipelines, data warehouses, and cloud-based data platforms.

The ideal candidate will have practical experience with Snowflake, Kafka, Python/PySpark, and AWS or another major cloud platform, along with a strong understanding of modern data engineering practices.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.
- Build and optimize data solutions using Snowflake and cloud-based data warehouses.
- Develop data processing and transformation workflows using Python and PySpark.
- Work with Kafka for real-time data ingestion and streaming pipelines.
- Develop and manage data engineering solutions on AWS or other cloud platforms.
- Optimize data pipelines for performance, reliability, scalability, and cost.
- Implement data quality, monitoring, validation, and error-handling mechanisms.
- Collaborate with data scientists, analysts, software engineers, and business teams to deliver reliable data solutions.

Required Skills

- Strong hands-on experience in Data Engineering.
- Experience with Snowflake and modern data warehouse architectures.




- Strong programming experience in Python and/or PySpark.
- Hands-on experience with Apache Kafka and data streaming.
- Experience with AWS, Azure, GCP, or another cloud platform.
- Strong understanding of ETL/ELT, data pipelines, data modeling, and data warehousing.
- Experience working with large-scale datasets and distributed data processing.
- Good understanding of SQL and database concepts.

Positive to Have

- Experience with Apache Spark, Airflow, dbt, or similar data engineering tools.
- Experience with real-time/streaming data architectures.
- Knowledge of data lake and lakehouse architectures.
- Experience with data quality, governance, and observability.
- Familiarity with CI/CD and infrastructure-as-code practices.

What Were Looking For

We are looking for someone who is hands-on, technically strong, and comfortable working on complex data engineering problems. Candidates with strong experience building production-grade data pipelines and cloud-based data platforms will be preferred.

If you want, I can also make this shorter and more attractive for LinkedIn/Naukri, with a stronger hiring pitch and keywords for better candidate search.

📌 Senior Data engineer (Pune)
🏢 Devicemotion Technologies
📍 Pune