Data Engineer Baddi (India)

Job Description – Data Engineer Position-Data Engineer Experience-5 – 10 Years LOCATION: NEWZEALAND (ON-SITE PROSPECT) Job Summary We are seeking an experienced Data Engineer with strong expertise in building scalable and high-performance data platforms. The ideal candidate will have hands-on experience with Apache Airflow, Apache Spark, PySpark, Scala, Databricks, Docker, and Advanced SQL, with a proven track record of developing and optimizing large-scale data pipelines and ETL processes. Key Responsibilities Design, develop, and maintain scalable data pipelines and data processing frameworks. Build and orchestrate ETL/ELT workflows using Apache Airflow. Develop data engineering solutions using Apache Spark, PySpark, and Scala. Leverage Databricks for large-scale data processing, optimization, and analytics. Write, optimize, and troubleshoot complex SQL queries involving: Inner, Left, Right, and Full Joins Self Joins CTEs and Subqueries Window Functions Query Performance Tuning Develop, deploy, and manage containerized applications using Docker. Collaborate with cross-functional teams to gather requirements and deliver robust data solutions. Implement data quality checks, monitoring, and performance tuning. Ensure data governance, security, and compliance standards are maintained. Troubleshoot and resolve production issues related to data pipelines and processing jobs. Mandatory Skills Apache Airflow – DAG creation, workflow orchestration, scheduling, and monitoring. Apache Spark – Distributed data processing and performance optimization. PySpark – ETL development, transformations, and data engineering. Scala Programming – Solid hands-on development experience with Spark/Scala applications. Databricks – Notebooks, workflows, Delta Lake, and cluster management. Advanced SQL Robust expertise in Joins (Inner, Outer, Left, Right, Full, Self) Window Functions Query Optimization Data Modeling Concepts Performance Tuning Docker Containerization Image Creation an