Job Description

Job Responsibilities

  • In-depth knowledge of Data Lake, Lakehouse, and Data Mesh architectures.
  • Experience building any data platforms using Databricks / Delta Lake (on-prem) / Snowflake.
  • Proficient in ingesting structured, semi-structured, and unstructured data.
  • Strong hands-on experience with Python, PySpark, SQL and APIs for data ingestion and transformation.
  • Experience with ETL / ELT pipelines, streaming (Kafka, Kinesis), and batch processing (Spark, Glue, DBT).
  • Strong experience working with Parquet, JSON, CSV files, sensor data, and optimizing large-scale analytical dataset.
  • Collaborate with team members to design and operationalize data lake solutions.
  • Excellent problem-solving, communication, and team collaboration skills.

Job Requirements

  • B.Tech in Computer Science or Master of Computer Application.
  • 6-8 years of relevant...

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