Technology Manager - Enterprise architect, analytics and security - Information Technology - Mumbai - Lodha (I-Think Techno Campus) - MM

On-siteMidData Engineerposted 2mo ago

✦Role summaryAI-generated

This role focuses on designing and managing scalable data platforms, including Azure-based data lakes, warehouses, and pipelines, with a strong emphasis on PySpark and cloud-native solutions. The candidate will lead data engineering initiatives while ensuring robust data governance and business-aligned analytics capabilities.

Skills required

Spark Azure data factory Delta Lake Etl pipelines Sql procedures Databricks Azure data lake Data cataloging Enterprise data warehouse Big data frameworks Data engineering Azure Data warehousing Data pipelines SQL

About this role

Key Objectives of the Job:

Developing modern Data platform

Manage deliveries for data Engineering, EDW and Data Lake platform.

Maintain robust data catalogue.

Manage Azure cloud platform for Data and Analytics

Specialized job competencies:

Experience in developing modern Data platform, data lake
Experience in development of large-scale enterprise data warehouse and data lake solution
Strong written and oral communication skills
Knowledge in BFSI domain will be added advantage.
Design and develop batch data pipelines independently to enable faster business analysis.
Working Experience in Microsoft Azure cloud and preferably component: Azure data lake, Azure data factory, Databricks, Delta Lake
2+ Exp in writing complex Pyspark jobs , SQL queries/procedures/Views/Functions and database objects
Experience working with big data frameworks especially databricks
Nice to have Talend/ SSIS knowledge.
Azure admin knowledge will be added advantage.
Proficient understanding of code versioning tools.
Excellent analytical and organisational skill