Data Engineer

Job Summary
Seeking a Hadoop Developer with experience in big data engineering to design,
build, and optimize scalable data pipelines on Hadoop ecosystem technologies. The role
involves batch/stream processing, data integration, performance tuning, and close collaboration
with business teams.

Key Responsibilities
1. Design and develop robust ETL/data pipelines using Hadoop ecosystem tools. 
2. Build and optimize large-scale data processing jobs using Spark and/or Hive. 
3. Develop workflows using Airflow. 
4. Write complex SQL/HiveQL for data transformation and reporting needs. 
5. Ingest structured and unstructured data from multiple sources (Kafka, Sqoop, APIs, files). 
6. Ensure data quality, lineage, and governance standards are followed. 
7. Monitor, troubleshoot, and tune jobs for performance and scalability. 
8. Create technical documentation and follow coding best practices.

Required Skills
1.  Hands-on experience in Hadoop/big data development. 
2. Strong knowledge of HDFS, Hive, Spark, 
3. String knowledge in Python/Scala
4. Strong SQL and data modelling fundamentals. 
5. Experience with workflow orchestration tools (Airflow). 
6. Good understanding of Linux, shell scripting, and distributed systems. 
8. Familiarity with version control (Git) and Agile delivery practices.