Sr. Data Engineer – AWS Databricks / Data Tech Lead

Role : Sr. Data Engineer – AWS Databricks / Data Tech Lead

Type : Contract

Location : Chennai / Hyderabad

Experience : 5+ years

Duration : 3 Months+ Extendable

Key Responsibilities :

• Data Pipeline Development : Design and implement robust ETL / ELT pipelines using Databricks, PySpark, and Delta Lake to process structured and unstructured data efficiently.
• Manage job orchestration, scheduling, and workflow automation through Databricks Workflows or Airflow .
• Performance Optimization : Tune and optimize Databricks clusters and notebooks for performance, scalability, and cost-efficiency.
• Data Governance : Implement data governance and lineage using Unity Catalog and other platform-native features
• Collaboration : Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
• Cloud Integration : Leverage cloud platforms (AWS) to build and deploy data solutions, ensuring seamless integration with existing infrastructure.
• Data Modeling : Develop and maintain data models that support analytics and machine learning workflows.
• Automation & Monitoring : Implement automated testing, monitoring, and alerting mechanisms to ensure data pipeline reliability and data quality.
• Documentation & Best Practices : Maintain comprehensive documentation of data workflows and adhere to best practices in coding, version control, and data governance.

Required Qualifications :

Primary Skill Set :

Databricks, Apache Spark / Pyspark, Python, SQL, ETL / ELT development, Delta Lake, Cloud platforms (AWS), Data modeling, Cross-functional collaboration, Communication

Secondary Skill Set :

Airflow, dbt, Kafka, Hadoop, MLflow, Unity Catalog, Delta Live Tables, Cluster optimization, Data governance, Security and compliance, Databricks certifications.