Company Name:-
Technicolor

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Company Description
Technicolor Production Services is the division with Technicolor which contain Technicolor’s world leading Visual effects and Animation brands such as MPC, Mr X, The Mill, and Mikros.

Technicolor’s brands have worked on the spectacular scenes and tiny details that make movies, advertising campaigns and Animation movies truly mind-blowing.

We’re the people behind the effects in countless blockbuster films like The Lion King, The Spongebob Movie: Sponge on the Run and advertising campaigns for clients such as Samsung, Audi, Nike and Apple.

We are constantly looking for the best talent in the world, enthusiastic people that come in everyday to be a part of some of the best work in the industry.

Technicolor’s artists are wildly creative, uber talented and passionate about the possibilities of VFX, Experiential, Animation and Technology.

When you join the team, you’ll be working with and learning from the most skilled people in the business.

Job Description
The Business Intelligence (BI) team is expanding its portfolio to meet data and reporting self-service needs from Brands across Technicolor.

This is an influential, innovative role.

You will support the design and development of how our data is architected, stored and accessed for Technicolor Production Services.

The ideal candidate will be experienced in data architecture, data warehousing, database management systems and ETL processes.

An in-depth understanding of on-premise & cloud-hosted data solutions and Microsoft’s Full Stack is essential.

You will be positioned in the Data Development branch of the BI team, supporting the Data Development Lead and the Department’s Architect.

You will report to the Global BI Manager and work closely with Developers, Analysts and Project Managers.

Responsibilities:
Design and Development
Harmonising our data architecture from Power BI Report Server with Power BI Cloud.

Architect, develop, test and maintain scalable data warehouses and data pipelines.

Design, develop and test scalable ETL processes, including error handling.

Creating databases, advanced data modelling, star and snowflake schemas.

Writing scripts for stored procedures, database snapshots backups and data archiving.

Preparing data structure

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