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Data Engineering

Teamware Solutions
Bengaluru, KA, IN
Full-timeOn-site5 - 10 yrs
1d ago0 view0 clicked apply
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Role: Data Engineering

Notice Period: Immediately to 15 days

Experience: 5–10 Years

Location: Bangalore


Must Have

  • Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions.
  • Strong expertise in the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS.
  • Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data Pipelines, Big Data model techniques using Python / Java.
  • Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design.
  • Should be aware of deploying Snowflake features such as data sharing, events and lake-house patterns.
  • Should have experience with data security and data access controls and design.
  • Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling).
  • Proficient in Lambda and Kappa Architectures.
  • Strong AWS hands-on expertise with a programming background preferably Python/Scala.
  • Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory.
  • Strong experience in AWS compute services like AWS EMR, Glue and Sagemaker and storage services like S3, Redshift & Dynamodb.
  • Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK.
  • Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming.
  • Experience in one of the flow tools like Airflow, Nifi or Luigi.
  • Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit.
  • Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules.
  • Strong understanding of Cloud data migration processes, methods and project lifecycle.
  • Good analytical & problem-solving skills.
  • Good communication and presentation skills.


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