Data Engineer

Data Engineer

Experience: 2+ Years
Location: Bangalore
Employment type: Full-time

WE are looking for a Data Engineer to help build and support modern cloud-based data solutions. The role involves working with large datasets, developing reliable data pipelines, and enabling analytics teams with high-quality, ready-to-use data.

What You’ll Work On

• Build scalable data pipelines and ingestion workflows using GCP (or Azure, AWS)and Databricks.

• Develop data processing and transformation solutions with Python, SQL, Spark/PySpark.

• Work extensively with BigQuery and Google Cloud Storage.

• Use Databricks Notebooks and Workflows to develop and manage data engineering workloads.

• Support both scheduled/batch processing and near real-time data ingestion.

• Ensure data pipelines are reliable through monitoring, validation, and quality checks.

• Prepare and maintain datasets used by BI, reporting, and analytics teams.

• Work with engineers and architects to improve data platforms and engineering practices.

What You Should Bring

• 2+ years of hands-on Data Engineering experience.

• Strong working knowledge of at least one major cloud platform (GCP, Azure, or AWS), with hands-on experience in Databricks, BigQuery, and/or cloud storage technologies.

• Good command of Python and SQL.

• Experience with ETL/ELT development and data warehousing concepts.

• Understanding of structured and unstructured data processing.

• Familiarity with Airflow or Cloud Composer.

• Exposure to Azure, particularly Azure Data Factory (ADF), is valuable.

• Knowledge of Git, CI/CD, and Agile development will be an advantage.

• Exposure to Kafka or Google Pub/Sub and streaming concepts is a plus.

Who Would Be a Good Fit?

Someone who enjoys solving data problems, takes ownership of their work, communicates well with technical teams, and is eager to work across modern cloud and data technologies.