Data Engineer

2 weeks ago

Pune, Maharashtra, India Hiringhood Full time
Primary Skills:
  • DynamoDB
  • Java
  • Kafka
  • Spark
  • Amazon Redshift
  • AWS Lake Formation
  • AWS Glue
  • Python
Job Description:
  • Having solid experience as a Data Engineer with a clear career progression.
  • Strong hands-on programming skills.
  • Proficient in working with Kafka, Kinesis, Spark, AWS Glue, and AWS Lake Formation.
  • Thorough understanding of Python, Scala/Java, AWS services (Lambda, Step Functions, DynamoDB, EMR), Terraform, UI technologies like Angular, Git, and Maven.
  • Experience in optimizing performance for both batch and real-time data processing applications.
  • Specialized in Data Governance and Data Security setup.
  • Skilled in designing and developing reusable tools and products.
Experience in AWS or other similar cloud platforms. Preferred:
  • Knowledge of ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, QuickSight, or equivalents.
  • Familiarity with high transaction volume systems, microservices architecture, and data processing pipelines (e.g., Spark).
  • Hands-on experience with serverless technologies like Lambda, MSK, MWAA, and Kinesis Analytics is a plus.
  • Proficiency in Agile methodologies, conducting Peer reviews, and Continuous Integration practices.
Roles and Responsibilities:
  • Define project requirements and create work schedules for the team.
  • Assign tasks and ensure timely accomplishment of daily, weekly, and monthly objectives.
  • Responsible for the design, development, testing, and deployment of software releases.

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