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Data Platform and Engineering Manager
ConfidentialMumbai, Mumbai City, Navi Mumbai1 day ago
Job descriptionStrong expertise in Data Lakehouse, Cloud (AWS preferred), Azure , and detailed data architecture. Deep understanding of ETL processes, Spark Framework , and modern data stack principles. Proficiency in SQL , Python , or Scala for data engineering. Hands-on experience with ETL / ELT tools and workflow orchestration (e.g., Airflow, Step Functions ). Experience with data governance and cataloging (e.g., AWS Glue Catalog, Hive Metastore ). Familiarity with CI / CD pipelines for data engineering projects. Good understanding of data security, access management, and compliance frameworks. Familiarity with MLOPS and LLM OPS . Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
We are seeking a Data Platform and Engineering Manager to oversee the development, scaling, and operations of our enterprise-wide Data Platform. You will be responsible for delivering robust and secure cloud-native data solutions, ensuring seamless ETL / ELT processes , data pipelines, and advanced data processing capabilities. This role requires a professional with strong expertise in Data Lakehouse architecture , AWS , and a deep understanding of modern data stack principles.
Roles & Responsibilities :
- Manage the development, scaling, and operations of the enterprise-wide Data Platform, collaborating closely with external vendors, internal data teams, and leadership stakeholders.
- Oversee the delivery of robust, scalable, and secure cloud-native data solutions.
- Ensure seamless ETL / ELT processes , data pipelines, and advanced data processing capabilities.
Skills Required :
QUALIFICATION :
Skills Required
Cloud, Sql, Python, Data Security, Access Management
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Manager Data Engineering • Mumbai, Mumbai City, Navi Mumbai