Senior Data Engineer
Passionate Gamers Building Unique Experiences
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Highlights:

3.00 - 5.00 Years
40.00 - 45.00 INR (Lacs)/Yearly
Full-time
Bangalore

Roles & Responsibility

Key Responsibilities:

  • Building and optimizing big data pipelines, architectures, and datasets to handle large-scale data.
  • Enhancing infrastructure for scalability, automation, and data delivery improvements.
  • Developing real-time and batch processing solutions using Kafka, Spark, and Airflow.
  • Ensuring data governance, security compliance, and high availability.
  • Collaborating with product, business, and analytics teams to support data needs.


Tech Stack:


  • Big Data Tools: Spark, Kafka, Databricks (Delta Tables), ScyllaDB, Redshift
  • Data Pipelines & Workflow: Airflow, EMR, Glue, Athena
  • Programming: Java, Scala, Python
  • Cloud & Storage: AWS
  • Databases: SQL, NoSQL (ScyllaDB, OpenSearch)
  • Backend: Spring Boo

Requirements

Key Responsibilities:

  • Building and optimizing big data pipelines, architectures, and datasets to handle large-scale data.
  • Enhancing infrastructure for scalability, automation, and data delivery improvements.
  • Developing real-time and batch processing solutions using Kafka, Spark, and Airflow.
  • Ensuring data governance, security compliance, and high availability.
  • Collaborating with product, business, and analytics teams to support data needs.


Tech Stack:


  • Big Data Tools: Spark, Kafka, Databricks (Delta Tables), ScyllaDB, Redshift
  • Data Pipelines & Workflow: Airflow, EMR, Glue, Athena
  • Programming: Java, Scala, Python
  • Cloud & Storage: AWS
  • Databases: SQL, NoSQL (ScyllaDB, OpenSearch)
  • Backend: Spring Boo