Senior Datalake Implementation Specialist

2 days ago

Bengaluru, Karnataka, India Enterprise Minds Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job TitleSenior DataLake Implementation Specialist

Experience:1012+ Years

Location:Bangalore

Type:Full-time / Contract

Notice Period:Immediate

Job Summary:

We are looking for a highly experienced and sharp

DataLake Implementation Specialistto 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 architectureson cloud platforms (AWS/Azure).
- Implement

streaming and batch data pipelinesusing

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+ yearshands-on experience in

Data Lake and Data Warehousingsolutions
- 3+ yearsexperience 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+ yearsof coding experience in

Python, especially in data processing
- 2+ yearsworking experience in

Apache Flinkand/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 guaranteesin 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:- Bachelors or Masters degree in Computer Science, Information Technology, or related field
- Relevant certifications in

AWS Big Data,

Azure Data Engineering, or

Databricks

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