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Data Catalog Engineer
4 weeks ago
Job Title : Data Catalog Engineer AWS Data Lake/Data Warehouse
Location : HDB Financial Services Limited. MBP Office Navi Mumbai.
Experience : 78 Years or More
Employment Type : Full-Time
Job Summary :
Key Responsibilities :
- Lead the end-to-end implementation of a data cataloging solution within AWS (preferably AWS Glue Data Catalog or third-party tools like Apache Atlas, Alation, Collibra, etc.).
- Establish and manage metadata frameworks for structured and unstructured data assets in the data lake and data warehouse
environments.
- Integrate the data catalog with AWS-based storage solutions such as S3, Redshift, Athena, Glue, and EMR.
- Collaborate with data Governance/BPRG/IT projects teams to define metadata standards, data classifications, and stewardship processes.
- Develop automation scripts for catalog ingestion, lineage tracking, and metadata updates using Python, Lambda, Pyspark or Glue/EMR customs jobs.
- Work closely with data engineers, data architects, and analysts to ensure metadata is accurate, relevant, and up to date.
- Implement role-based access controls and ensure compliance with data privacy and regulatory standards.
- Create detailed documentation and deliver training/workshops for internal stakeholders on using the data catalog.
Required Skills and Qualifications :
- Proven expertise in implementing and managing data catalog solutions within AWS environments.
- Strong knowledge of AWS Glue, S3, Athena, Redshift, EMR, Data Catalog and Lake Formation.
- Hands-on experience with metadata ingestion, data lineage, and classification processes.
- Proficiency in Python, SQL, and automation scripting for metadata pipelines.
- Familiarity with data governance and compliance standards (e.g., GDPR, RBI guidelines).
- Experience integrating with BI tools (e.g., Tableau, Power BI) and third-party catalog tools is a plus.
- Strong communication,
- Problem-solving, and stakeholder management skills.
Preferred Qualifications :
- Experience with data catalog tools like Alation, Collibra, or Informatica EDC. Or open sources tools hand-on experience.
- Exposure to data quality frameworks and stewardship practices.
- Knowledge of data migration with data catalog and data-mart is plus
- Strong knowledge of AWS Glue, S3, Athena, Redshift, EMR, Data Catalog and Lake Formation.
- Hands-on experience with metadata ingestion, data lineage, and classification processes.
- Proficiency in Python, SQL, and automation scripting for metadata pipelines.
- Familiarity with data governance and compliance standards (e.g., GDPR, RBI guidelines).
- Experience integrating with BI tools (e.g., Tableau, Power BI) and third-party catalog tools is a plus.
- Strong communication,
- Problem-solving, and stakeholder management skills.
- AWS Certifications (e.g., AWS Certified Data Analytics, AWS Solutions Architect).
- Experience with data catalog tools like Alation, Collibra, or Informatica EDC. Or open sources tools hand-on experience.
- Exposure to data quality frameworks and stewardship practices.
- Knowledge of data migration with data catalog and data-mart is plus
(ref:hirist.tech)