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4 QuaXigma Jobs

Senior Data Engineer

5-10 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Senior Data Engineer

QuaXigma

posted 15hr ago

Job Role Insights

Job Description

  • Develop, construct, test and maintain optimal data pipeline/ETL architectures
  • Map out data systems/objects and define/design required integration, ETL, BI AI systems/processes
  • Work closely within the team to prepare data for predictive and prescriptive modeling
  • Optimize AWS and Azure data delivery infrastructure for greater scalability
  • Utilize SQL as well as big data tools and frameworks to optimize data acquisition and preparation from enterprise data lake and data warehouse
  • Work with Cloud Architecture teams to strive for greater functionality in our data systems
  • Develop architecture required to return data to data warehouse for front-end product utilization
  • Curate data models in the data warehouse to be used by front-end advanced analytics designers
  • Provide production level code reviews for the team
  • Design, maintain and implement quality assurance and testing approaches
  • Deploy scripts and architectures to production via Jenkins
Skills/Experience required
  • Bachelor s Degree in Computer Science, Mathematics, Engineering, Management Information Systems, or related field
  • 5+ years of experience working with enterprise data platforms, building, and managing data lakes and using data technologies
  • 3-5 years of experience designing and implementing data warehouse solutions
  • 2+ years of experience with Spark using Python/Scala. Experience with Spark streaming, building real time data pipelines is preferred
  • 2+ years of experience working with AWS and or Azure platform. Experience with solutioning on AWS infrastructure using services like AWS S3, Lambda, EMR, Redshift (or Snowflake)
  • Experience with automating and orchestrating jobs on a big data platform using Oozie, Airflow, Jenkins or something similar
  • Good understanding and experience working with various products in the Big data ecosystem like Hive, HDFS, Presto, NoSQL databases like Cassandra, DynamoDB
  • Experience with setting up and using Kafka for real time streaming is a big plus
  • Prior experience with working in a SQL server-based environment and using SSIS, SSRS, TSQL is a plus.
  • Prior experience with traditional ETL tools like Talend Open Studio, Pentaho, or something similar is a plus
  • Advanced SQL and data design concepts
  • Drive innovation and efficiency through new approaches
  • Ability to work in a team environment that promotes collaboration

Employment Type: Full Time, Permanent

Read full job description

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