Hiring: AWS Databricks Data Engineer
We are looking for an experienced AWS Databricks Data Engineer with strong expertise in Databricks, Azure Data Factory (ADF), PySpark, Python, Terraform, and AWS Cloud .
If you have experience building scalable cloud-based data pipelines and are looking for your next opportunity, we’d love to connect!
Job Details
Role: AWS Databricks Data Engineer
Experience: 6–9 Years
Locations: Indore / Pune / Hyderabad
Notice Period: Immediate Joiners / 30 / 60 / 90 Days
Key Skills: AWS, Databricks, ADF, PySpark, Python, Terraform
Key Responsibilities
Design, develop, and maintain scalable data engineering solutions using Databricks .
Develop high-performance data processing pipelines using PySpark and Python .
Build and manage ETL/ELT workflows using Azure Data Factory (ADF) .
Work with AWS cloud services for data storage, processing, integration, and deployment.
Design and implement effective data ingestion and transformation frameworks.
Develop and maintain cloud infrastructure using Terraform / Infrastructure as Code (IaC) .
Optimize Databricks jobs, Spark workloads, and data pipelines for performance and scalability.




Implement data quality, monitoring, logging, and error-handling mechanisms.
Troubleshoot production issues related to data pipelines and distributed processing.
Collaborate with architects, analysts, DevOps teams, and business stakeholders to deliver reliable data solutions.
Follow CI/CD, version control, security, and cloud engineering best practices.
Required Skills
6–9 years of experience in Data Engineering / Cloud Data Engineering .
Solid hands-on experience with Databricks .
Strong development experience in PySpark and Python .
Hands-on experience with Azure Data Factory (ADF) .
Good experience working with AWS Cloud .
Hands-on knowledge of Terraform and Infrastructure as Code .
Strong understanding of ETL/ELT, data pipelines, data transformation, and distributed data processing .
Experience working with large datasets and optimizing Spark-based workloads.
Good understanding of SQL, data modeling, and cloud data architectures.
Strong analytical, troubleshooting, and communication skills.

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