Position: Lead Data EngineerYears of Experience 7 - 10 years
Qualifications BETe, Bch, MTech, MCA from a reputed institute
Job Location: Pune:Roles and Responsibilities:Architecture design and implementation of next generation data pipelines, analytics, and BI solutionsManage AWS resources including RDS, EMR, MWAA, Lambda etc.Build and deliver high quality data architecture and pipelines to support business analysts and data scientistsInterface with other technology teams to extract, transform, and load data from a wide variety of data sourcesContinually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersRequirement:7-10 years of data engineering experienceExperience with data modeling, warehousing and building ETL pipelinesExperience programming with at least one modern language, preferably PythonExperience working on and delivering end to end projects independentlyKnowledge of distributed systems as it pertains to data storage and computing2+ years of analyzing and interpreting data with Postgres, NoSQL etc. experience2+ Years of hands-on experience with big data framework and storage mechanisms likeApache Spark, EMR, Glue, Data Lake, and BI tools like TableauGeospatial and time series data experienceDesired Skills-Collaborate with Software Engineers, Product Managers, Data Scientists and Business Intelligence Engineers to design, plan and deliver on high priority data initiatives serving & internal stakeholders.Build automated, fault tolerant and scalable data solutions leveraging state of the art technologies including but not limited to Spark, EMR, Python, AirFlow, Glue and S3.Look around corners and be creative - Continuously evaluate and improve our strategy, architecture, tooling and codebase to maximize performance, scalability and availability.
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