Job Location : Bangalore , Chennai , Kolkata , Gurugram , Pune

Primary Roles And Responsibilities

• Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
• Develop and maintain data pipelines implementing ETL process, monitoring performance and advising any necessary infrastructure changes
• Translate complex technical and functional requirements into detailed designs
• Investigate and analyze alternative solutions to data storing, processing etc. to ensure most streamlined approaches are implemented
• Serve as a mentor to junior staff by conducting technical training sessions and reviewing project outputs
  
  

Skills And Qualifications

• Strong understanding of data warehousing and data modeling techniques.
• Proficient understanding of distributed computing principles - Hadoop v2, MapReduce, HDFS
• Strong data engineering skills on GCP cloud platforms Airflow, Cloud Composer, Data Fusion, Data Flow, Data Proc, Big Query
• Experience with building stream-processing systems, using solutions such as Storm or Spark- Streaming
• Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala
• Experience with Spark, SQL, and Linux.
• Knowledge of various ETL techniques and frameworks, such as Flume, Apache NiFi, or DBT.
• Experience with various messaging systems, such as Kafka or RabbitMQ.
• Good understanding of Lambda Architecture, along with its advantages and drawbacks