CAPCO
Location
Bangalore | India
Job description
Job Title: Azure Data Architect
About Us
'Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Location – Sarjapur, Bangalore/ Sholinganallur, Chennai - Hybrid
Years of experience- 12+yrs
Key Skills: Microsoft Azure Data Services, Data Modelling
Technical Requirement:
Responsibilities
Translate Business Requirements to Conceptual, Logical and Physical Data Models. Recognize the need for a specific relational design – OLTP, OLAP, Data Warehouse – from a set of requirements and/or from a Logical Data Model. Define and implement data governance policies and standards to ensure data quality and consistency. Participate in mapping of Logical to Physical Data Models and vice versa. Excellent communication, collaboration, and presentation skills. Perform model creation for large set of data which are being sourced to Big Data.
Role Requirements
Strong Data Modeler with Financial Services experience. Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context. Demonstrate a continual desire to implement 'strategic' or 'optimal' solutions and where possible, avoid workarounds or short-term tactical solutions. Working with stakeholders to ensure that negative customer and business impacts are avoided. Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio. Good understanding of the control requirements surrounding data handling.
Experience/Skillset
Excellent analytical skills and commercial acumen. Design and develop enterprise-level data architectures on Microsoft Azure, considering scalability, security, performance, and cost efficiency. Select and implement appropriate Azure data services such as Data Lake Storage, Azure Synapse Analytics, Azure SQL Database, and Cosmos DB. Lead the design and development of data pipelines using Azure Data Factory and other relevant tools. Define and implement data governance policies and standards to ensure data quality and consistency. Experience in ETL/ELT as well as Entity Relationship (ER) data modelling. Knowledge of Data Fabric, Data Mesh and Data Vault is preferable. Understanding of slowly moving dimensional data warehouses (star schema, Kimball dimensional data modelling). Good knowledge of SDLC and formal Agile processes as well as testing experience. Can write SQL (NoSQL) and Python, PySpark queries, Scala knowledge preferable and navigate data bases especially Hive, CMD, Putty, Note++ Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines. Knowledge of COBOL copy book is preferable to translate the COBOL copy book solution to Azure data solution with the data mapping. Excellent communication, collaboration, and presentation skills. Ability to manage multiple priorities. Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context Document data architecture principles, decisions, and solutions for future reference. Business analysis skills, defining and understanding requirements. Attention to detail. Ability to communicate effectively in a multi-program environment across a range of stakeholders.
If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit Follow us on Twitter, Facebook, LinkedIn, and YouTube.
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