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Data Engineer - ETL/Spark (2-6 yrs) Pune (Analytics & Data Science)
Location:
Pune
Description:
Responsibilities : - Create prototypes and proof-of-concepts for iterative development.- Experience with NoSQL databases, such as DynamoDB, MongoDB, etc.- Create and maintain optimal data pipeline architecture.- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.- Evangelize a very high standard of quality, reliability, and performance for data models and algorithms that can be streamlined into the engineering and sciences workflow.- Build and enhance data pipeline architecture by designing and implementing data ingestion solutions.Requirements : - Experience with ETL, Data Modeling, and Data Architecture.- Design, build, and operationalize large-scale enterprise data solutions and applications using one or more AWS data and analytics services in combination with 3rd parties - Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, and Glue.- Experience with AWS cloud data lake for the development of real-time or near-real-time use cases.- Experience with messaging systems such as Kafka/Kinesis for real-time data ingestion and processing Build data pipeline frameworks to automate high-volume and real-time data delivery. (ref:hirist.tech)
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More About this Listing: Data Engineer - ETL/Spark (2-6 yrs) Pune (Analytics & Data Science)
Data Engineer - ETL/Spark (2-6 yrs) Pune (Analytics & Data Science) is a Engineering Engineer Job at Gethyr located in India. Find other listings like Data Engineer - ETL/Spark (2-6 yrs) Pune (Analytics & Data Science) by searching Oodle for Engineering Engineer Jobs.
Data Engineer - ETL/Spark (2-6 yrs) Pune (Analytics & Data Science) is a Engineering Engineer Job at Gethyr located in India. Find other listings like Data Engineer - ETL/Spark (2-6 yrs) Pune (Analytics & Data Science) by searching Oodle for Engineering Engineer Jobs.