AWS Data Lake Administrator

4 weeks ago

Bengaluru, Karnataka, India Tata Consultancy Services Full time
Role: AWS Data Lake Administrator

Location: Bangalore and Hyderabad

Years of Experience: 10-14 years (Mandatory)

Notice Period: 30 days or lesser.

Job Description:

We are seeking a highly skilled AWS Data Lake Administrator to manage and optimize our data lake architecture on AWS. The ideal candidate will have strong experience with AWS data services such as S3, Lake Formation, Glue Catalog, Redshift Spectrum, and extensive SQL knowledge. The role involves managing data ingestion, security, and performance of the data lake, ensuring efficient and secure access to data for analytics and reporting.

Key Responsibilities:

- Administer and manage the AWS Data Lake infrastructure, ensuring high availability, security, and performance.
- Configure and manage AWS S3, Lake Formation, and Glue Data Catalog to organize, secure, and catalog data within the data lake.
- Set up and manage Redshift Spectrum for querying and analyzing data stored in S3 using SQL and Redshift.
- Implement and manage data ingestion pipelines to ingest structured and unstructured data from various sources into the data lake using AWS services like Glue ETL, Lambda, and other orchestration tools.
- Define and enforce data governance policies, access control, and security measures using AWS Lake Formation, ensuring compliance with organizational and regulatory requirements.
- Optimize data storage in S3 through partitioning, compression, and appropriate data formats like Parquet, Avro, or ORC to improve query performance.
- Monitor and manage the Glue Catalog for maintaining metadata, table definitions, and data lineage within the data lake.
- Collaborate with data engineers, architects, and analysts to ensure seamless access to data for analytics and machine learning.
- Troubleshoot and optimize query performance in Redshift Spectrum, and manage workload performance in the data lake environment.
- Implement backup, recovery, and disaster recovery strategies for data lake assets, ensuring data integrity and availability.
- Maintain detailed documentation of data lake architecture, security policies, and data governance procedures.

Qualifications:

- 4-8 years of experience in managing data lake environments, with a focus on AWS data services.
- Strong expertise in AWS services like S3, Lake Formation, Glue, Glue Data Catalog, Redshift Spectrum, and Lambda.
- Good knowledge of SQL and query optimization techniques, particularly in querying data from S3 using Redshift Spectrum and Athena.
- Experience in data ingestion pipelines using AWS Glue ETL, Lambda, and other AWS orchestration tools.
- Strong understanding of data governance, access control, and security best practices in AWS environments.
- Experience with data formats (Parquet, ORC, Avro, JSON) and optimizing data storage for cost and performance.
- Knowledge of data partitioning, compression, and indexing strategies in S3.
- Familiarity with monitoring, troubleshooting, and optimizing AWS Data Lake performance.
- Excellent communication and collaboration skills to work across teams and support business requirements.

AWS certifications, such as AWS Certified Big Data – Specialty or AWS Certified Solutions Architect, are a plus.

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