Data Engineer - Bangalore @ HTC Global Services

Job Description

• Own, design, build, operationalize, secure, and monitor data processing systems
• Translating business use cases across all products into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
• Defining the data architecture framework, standards and principles, including modelling, metadata, security
• Build logical and physical data models in sustainable, scalable manner and Design various ETL processes defining data flows across data stores/systems
• Collaborate with Product Owner, IT, business process owners and data scientists to design/build/improve Data ware house and datamarts
• Be a Tech Anchor for the team on streaming & batch ETL development activities conducting code reviews, and resolving technical issues and dependencies
• Optimizing queries and building a scalable data model
• Monitor processes and develop plans to capture and access all metadata, according to various ETL processes.
• Evaluate all proposals requests and improve structure of data warehouse
• Ensure accuracy and quality of data movement across ETL pipelines in production environment

Skills Required:

6+ years of work experience in data warehousing data engineering or related field with experience in manipulating, processing, and extracting value from data sources

• Solid experience on building data lakes and data warehouses with various data sources on multiple projects
• Hands on experience on designing and building streaming ETL pipelines (using Kafka, Spark etc.,)
• Tools/Technology: Spark SQL/ Spark Streaming or Big Query (end-end); Apache Beam or Dataflow; Kafka or pub/sub
• Should have sound experience / knowledge on SQL Query optimization & performance tuning
• Hands on experience in programming languages like Java, Scala, Python (any two)
• Databases: SQL Server, PostgreSQL, MySQL (one or more required)
• Exposure to Hadoop ecosystem: HDFS, Hive, MapReduce, Oozy
• Must have knowledge of any public cloud platform like AWS, Azure, Google Cloud, etc.

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Keyskills:   data engineering java spark python kafka