AWS Databricks Developer

🚀 Hiring: AWS Databricks Developer | ADF | PySpark | Python | Terraform
📍 Location: Indore / Pune / Hyderabad
💼 Experience: 6-9 Years
⏳ Notice Period: Up to 90 Days
We are looking for a highly skilled AWS Databricks Developer with strong expertise in Azure Data Factory (ADF), PySpark, Python, and Terraform to join our growing data engineering team. The ideal candidate will have hands-on experience building scalable data pipelines, cloud-native data platforms, and infrastructure automation solutions.
Key Responsibilities:
✅ Design, develop, and optimize data pipelines using Databricks, PySpark, and Python
✅ Build and maintain data ingestion and transformation workflows using ADF
✅ Work with large-scale datasets in cloud-based data lake and warehouse environments
✅ Develop Infrastructure as Code (IaC) solutions using Terraform
✅ Implement data quality, governance, security, and performance optimization practices
✅ Collaborate with business stakeholders, architects, and cross-functional teams
✅ Troubleshoot production issues and ensure high availability of data platforms
Required Skills:
✔ AWS Cloud Services
✔ Databricks
✔ Azure Data Factory (ADF)
✔ PySpark
✔ Python
✔ Terraform
✔ SQL & Data Modeling
✔ Data Lake / Data Warehouse Concepts
✔ CI/CD and DevOps Practices
✔ Version Control (Git)
Preferred Skills:
➕ Delta Lake
➕ Apache Spark Optimization
➕ Airflow or Similar Workflow Orchestration Tools
➕ Snowflake or Redshift Exposure
➕ Agile/Scrum Methodologies
Qualification:
🎓 Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
What We're Looking For:
🔹 Strong problem-solving and analytical skills
🔹 Excellent communication and stakeholder management abilities
🔹 Experience in enterprise-scale cloud data engineering projects

Work arrangement
No