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Enterprise Minds
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Senior Datalake Implementation Specialist

Senior Datalake Implementation Specialist

Enterprise Minds

10 - 12 years

7 - 11 Lacs

bengaluru

Posted:2 weeks ago| Platform:

Apply

Skills Required

coding schema data governance data processing apache information technology aws analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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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