Jobs → Data & Analytics → Python Spark Databricks Developer

About the Role We are looking for an experienced Data Engineer/Developer with strong hands-on experience in data processing and ETL/ELT pipelines. Key Responsibilities • Design and implement data processing solutions using Python, PySpark, and Apache Spark • Develop and maintain ETL/ELT pipelines for large-scale data • Utilize Databricks for data engineering tasks • Implement Unix/Linux Shell Scripting for automation • Configure Control-M for job scheduling and workflow orchestration • Perform Spark performance tuning and optimization • Provide production support and troubleshooting • Ensure data integration, testing, and deployment Requirements • Strong hands-on experience with Python, PySpark, and Apache Spark • Experience with Databricks platform • Proficiency in ETL/ELT and large-scale data pipelines • Knowledge of Unix/Linux Shell Scripting • Experience with Control-M for job scheduling • Understanding of Spark performance tuning • Experience with data integration, testing, and deployment Benefits • Healthcare / Health Insurance