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 efficient 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 . Strong 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. Robust analytical, troubleshooting, and communication skills.

📌 AWS Databrics ,ADF, Pyspark , Python , Terraform (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad