Senior Datalake Implementation Specialist
7 days ago
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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