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Associate, Data Engineer, Consumer Banking
4 months ago
Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.Roles & Responsibilities• Data Engineer should be able to understand the Business requirements, Functional and Technical requirements and translate them effectively using the Spark/SCALA Framework.• Should be able to extract the data from source systems (Open/Mainframes) to Data Lake (Hive/Parquet).• Understand the complex transformation logic and translate them to Hive/Spark-SQL queries to load them onto Enterprise Data Domain tables and Data Marts.• Hands on experience on dealing with live streaming datasets using Kafka/Spark Streaming.• Excellent oral and written communication skills, On-time delivery and good team player.Requirements• BE in Computer Science Engineering or equivalent. 4 to 6 years hands on experience on Spark Core, Spark-SQL, Scala-Programming and Streaming datasets in Big Data platform• Should have extensive working experience in Hive and other components of Hadoop eco system (HBase, Zookeeper, Kafka and Flume)• Should be able to understand the complex transformation logic and translate them to Spark-SQL queries.• Unix Shell Scripting and setting up CRON jobs.• Should have worked on Cloudera distribution framework, Oozie Workflow (or any Scheduler), Jenkins (or any version controller).• Prior experience in Consumer Banking Domain is an advantage• Prior experience in agile delivery method is an advantage• Excellent understanding of technology life cycles and the concepts and practices required to build big data solutions• Familiar with Data Warehouse concepts and Change Data Capture (CDC and SCD Types)• Core Java skillset is an added advantage. Airflow is an added advantage.• Good Knowledge and experience in any database (Teradata or Data Lake or Oracle or SQL Server) is a plus• Bachelor of Engineering, Bachelor of Technology, MCA (or equivalent master degree)
