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AWS Databrics ,ADF, Pyspark , Python , Terraform

  • Source: LinkedIn
  • Tata Consultancy Services
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

🚀 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.
  • Strong analytical, troubleshooting, and communication skills.

Skills

  • amazon-web-services
  • pyspark
  • Python
  • Terraform
  • azure-databricks
  • databricks
  • microsoft-azure
  • azure-data-factory
  • Spark
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