? 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 .
- Solid 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.

📌 AWS Databrics ,ADF, Pyspark , Python , Terraform (Hyderabad)
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