BI Data Engineer Module Lead at Sopra Steria
Noida, Uttar Pradesh, India -
Full Time


Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

0.0

Posted On

28 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Talend, DBT, ADF, ADB, SQL, Data Engineering, ETL, ELT, Data Modeling, Data Transformation, Cloud-Based Data Platforms, CI/CD, Power BI, Python, Kubernetes, GitLab

Industry

Information Technology & Services

Description
Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description Location- Noida Exp.- 4 to 6 Years Skills- Talend, DBT, ADF, ADB Role Overview The profile is responsible for the development, operation, and optimization of data pipelines and BI data products. The role supports BI and analytics products, working in close coordination with the Proxy Product Owner, DevOps Engineer. Technical Skills Strong experience in data engineering and ETL/ELT pipelines. Solid SQL skills and data modeling understanding. Design, develop, and maintain ETL / ELT pipelines feeding BI and financial reporting products. Implement data transformations using ADF, DBT, Talend, and SQL-based processes. Ensure data availability, freshness, and consistency across environments. Experience with cloud-based data platforms. Familiarity with CI/CD and production constraints. Data & BI Stack Azure Data Factory DBT – transformation pipelines Talend – ETL / data flows (Java-based) Dagster – orchestration Trino – query engine SQL Server – databases Power BI (Service, Report Server and Analysis Service) Azure Databricks Dev & Ops GitLab (versioning, CI/CD integration) Python (automation, utilities) Kubernetes (execution environment, with DevOps support) Ecosystem Azure (current production) GCP (S3NS migration – planned) Data Galaxy (data catalog integration) Qualifications BTech/MCA Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.
Responsibilities
The profile is responsible for the development, operation, and optimization of data pipelines and BI data products. The role supports BI and analytics products, working closely with the Proxy Product Owner and DevOps Engineer.
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