Data Engineer

Job Description

Job Requirements Job Requirements Role/ Job Title: Data Engineer Business: New Age Function/ Department: Data & Analytics Place of Work: Mumbai Roles & Responsibilities 'Minimum 2-3 years of Data Engineering experience Proven experience in in SQL, Spark, Hadoop ecosystem Have worked on multiple TBsof data volume from ingestion to consumption Work with business stakeholders to identify and document high impact business problems and potential solutions Good understanding of Data Lake/Lakehouse architecture and experience/exposure to Hadoop (cloudera, hortonworks) and/or AWS Work on end-to-end data lifecycle from Data Ingestion, Data Transformation and Data Consumption layer. Versed with API and its usability A suitable candidate will also be proficient in Spark, Spark Streaming, hive, SQLs A suitable candidate will also demonstrate experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc. The candidate will additionally demonstrate substantial experience and a deep knowledge of relational databases. Good skills in technical debugging of the code in case of issues. Also, working with git for code versioning Creating Technical Design Documentation of the projects/pipelines Secondary Responsibilities 'Ability to work independently and handle your own development effort. Excellent oral and written communication skills Learn and use internally available analytic technologies Identify key performance indicators and create educational/deliverables path to achieve the same Use educational background in data engineering and perform data mining analysis Work with BI analysts/engineers to create prototypes Engage in the delivery and presentation of solutions Key Success Metrics 'Ensure timely deliverables. Write and maintain excellent code quality Spot Data fixes. Solutionize technical aspects of the projects. Error free deliverables.