Job
Description
Job Requirements Job Requirements Role/ Job Title: Senior Data Engineer Business: New Age Function/ Department: Data & Analytics Place of Work: Mumbai/Bangalore Roles & Responsibilities 'Minimum 6 years of Data Engineering experience and 3 years in large scale Data Lake ecosystem Proven expertise in SQL, Spark Python, Scala, Hadoop ecosystem, Have worked on multiple TBs/PBs of data volume from ingestion to consumption Work with business stakeholders to identify and document high impact business problems and potential solutions First-hand experience with the complete software development life cycle including requirement analysis, design, development, deployment, and support Advanced understanding of Data Lake/Lakehouse architecture and experience/exposure to Hadoop (cloudera,hortonworks) and 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 Spark, Spark Streaming, AWS, and EMR A suitable candidate will also demonstrate machine learning experience and 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 data mining techniques, relational, and non-relational databases. Advanced skills in technical debugging of the architecture in case of issues Creating Technical Design Documentation (HLD/LLD) 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 establish strategies on how to deliver on these key points for analysis solutions Use educational background in data engineering and perform data mining analysis Work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points Engage in the delivery and presentation of solutions Managerial & Leadership Responsibilities 'Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors Oversee the data integration work, including integrating a data model with datalake, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals Key Success Metrics 'Ensure timely deliverables. Spot Data fixes. Lead technical aspects of the projects. Error free deliverables.
