Senior Datalake Implementation Specialist

7 days ago

Bengaluru, Karnataka, India Enterprise Minds, Inc Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title: Senior DataLake Implementation Specialist
Experience:
10–12+ Years

Location:
Bangalore

Type:
Full-time / Contract

Notice Period:
Immediate

Job Summary
We are looking for a highly experienced and sharp
DataLake Implementation Specialist
to lead and execute scalable data lake projects using technologies such as
Apache Hudi, Hive, Python, Spark, Flink
, and
cloud-native tools on AWS or Azure
. The ideal candidate must have deep expertise in designing and optimizing modern data lake architectures with strong programming skills and data engineering capabilities.

Key Responsibilities

  • Design, develop, and implement robust data lake architectures on cloud platforms (AWS/Azure).
  • Implement streaming and batch data pipelines using Apache Hudi, Apache Hive, and cloud-native services like AWS Glue, Azure Data Lake, etc.
  • Architect and optimize ingestion, compaction, partitioning, and indexing strategies in Apache Hudi.
  • Develop scalable data transformation and ETL frameworks using Python, Spark, and Flink.
  • Work closely with DataOps/DevOps to build CI/CD pipelines and monitoring tools for data lake platforms.
  • Ensure data governance, schema evolution handling, lineage tracking, and compliance.
  • Collaborate with analytics and BI teams to deliver clean, reliable, and timely datasets.
  • Troubleshoot performance bottlenecks in big data processing workloads and pipelines.

Must-Have Skills

  • 4+ years hands-on experience in Data Lake and Data Warehousing solutions
  • 3+ years experience with Apache Hudi, including insert/upsert/delete workflows, clustering, and compaction strategies
  • Strong hands-on experience in AWS Glue, AWS Lake Formation, or Azure Data Lake / Synapse
  • 6+ years of coding experience in Python, especially in data processing
  • 2+ years working experience in Apache Flink and/or Apache Spark
  • Sound knowledge of Hive, Parquet/ORC formats, and DeltaLake vs Hudi vs Iceberg
  • Strong understanding of schema evolution, data versioning, and ACID guarantees in data lakes

Nice To Have

  • Experience with Apache Iceberg, Delta Lake
  • Familiarity with Kinesis, Kafka, or any streaming platform
  • Exposure to dbt, Airflow, or Dagster
  • Experience in data cataloging, data governance tools, and column-level lineage tracking

Education & Certifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, or related field
  • Relevant certifications in AWS Big Data, Azure Data Engineering, or Databricks

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