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Genesys India | is Hiring | Sr . Data Engineer II | BigDataKB.com | 2022-04-05

Job Location: Chennai

What youll get to do

  • Work in an agile development environment, constantly shipping and iterating.a
  • Develop high quality batch and streaming big data pipelines.
  • Interface with our Data Consumers, gathering requirements, and delivering complete data solutions.
  • Own the design, development, and maintenance of datasets that drive key business decisions.
  • Support, monitor and maintain the data models
  • Adopt and define the standards and best practices in data engineering including data integrity, performance optimization, validation, reliability, and documentation.
  • Keep up-to-date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using cloud services.
  • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Your experience should include

  • Bachelor s degree in CS or related technical field.
  • 5+ years of experience in data modeling, data development, and data warehousing.
  • Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
  • Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
  • Experience in programming using Python, Java or Scala.
  • Experience with data orchestration tools (Airflow, Oozie, Step Functions).
  • Solid understanding of database technologies including NoSQL and SQL.
  • Strong in SQL queries (experience with Snowflake Cloud Datawarehouse is a plus)
  • Work experience in Talend is a plus
  • Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
  • Strong organizational and multitasking skills with ability to balance competing priorities.
  • Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
  • An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.

You might also have

  • Experience with AWS big data technologies – S3, EMR, Kinesis, Redshift, Glue
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