Data Engineer-Azure Databricks

Role: Associate Data Engineer -Azure Databricks

Exp Level: 1-2 Yrs

Work Location: Bangalore

Notice Period: Immediate

We are looking for a Data Engineer to design, build, and maintain robust data pipelines and infrastructure. You will enable reliable, scalable, and high-quality data flows that power analytics and machine learning across the organization.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to ingest data from diverse sources.
• Develop and optimize data models and schemas for analytics and reporting use cases.
• Build and maintain data infrastructure on cloud platforms (Azure, AWS, or GCP).
• Ensure data quality, reliability, and observability through monitoring, testing, and validation frameworks.
• Collaborate with data scientists and analysts to provision clean, well-structured datasets.
• Implement data governance, security, and access control best practices.
• Optimize pipeline performance and manage cost efficiency of data processing workloads.
• Contribute to CI/CD practices for data pipeline deployment and version control.

Required Skills & Qualifications

• 1-2 years of experience in data engineering or a related field.
• Strong proficiency in SQL and at least one programming language (Python, Pyspark).
• Hands-on experience with distributed data processing frameworks (Apache Spark, or similar).
• Experience building pipelines using orchestration tools (Airflow, Azure Data Factory, or similar).
• Experience working with cloud data platforms (Azure) and modern data warehouses (Snowflake, BigQuery, Redshift, or Databricks).
• Solid understanding of data modeling concepts (dimensional modeling, star/snowflake schemas).
• Familiarity with version control (Git) and CI/CD practices.