Want to make information technology smarter? As Data Governance Lead, you’ll have the freedom to think strategically and harness emerging trends to grow our business.
Data Governance Lead
Hyderabad, Andhra Pradesh
Competitive Salary & excellent benefits package
This role forms part of Enterprise data organisation.RB’s intention is to develop an Enterprise Data & Analytics Platform, to meet analytics and reporting requirements across the business.
The Platform will provide increased capabilities to both provide standardised data as input to processes as well as intelligent analytics to understand process quality and performance.
Currently there are three Data Lakes / Platforms, each serving a separate part of the business.
Understand the business users’ requirements for information and study the feasibility based on data warehouse / data lake design
Lead preparation of data warehouse / data lake requirements based on business demand understanding
Build & analyse data warehousing / data lake metrics reporting
Set up processes to ensure data quality at ingestion points
Determine systems of record with the assistance of appropriate source system experts
Oversee testing of data acquisition processes and their implementation into production
Act as a design authority to the ETL and data programmers
Manage all aspects of the warehouses such as data sourcing, migration, quality, design, and implementation.
Skills & Experience
Minimum of 10 years of experience in Data Warehousing role and leadership experience in successfully managing a team
Ability to articulate pros & cons of TO-BE design decisions across a wide spectrum of factors
Should have worked in agile environments and good to have exposure to Devops and git / release processes
Subject matter expertise in the areas of data warehouse related technologies, data delivery, project methodologies, business analysis, and data quality management.
Technical qualifications required
Bachelor’s degree in computer science, Software Engineering, MIS or equivalent preferred
Have a good understating of data warehousing and data modelling Hands-on technical experience spanning across design, build, and production with a focus on issue resolution to remove any production blockers
Big Data structured and unstructured data including SQL Data Warehouse, Azure Synapse, Snowflake, Big Query, Redshift and data lake concepts.
Advanced Analytics including Azure Data bricks / Spark
Visualization tools as PowerBI, Tableau and Qlik
Data Governance, logging, and lineage
Streaming workloads and Lambda architectures using Azure Stream Analytics, IoT / Event Hubs, Service Bus, Spark streaming, Flink, Kafka streams and Storm.
Breadth of knowledge across cloud computing domains and experience on Azure or other cloud platform
Azure Database for PostgreSQL, MySQL, and MariaDB
Azure Cosmos DB, database scalability and availability
SQL Server migration, OSS relational DB migration