Snowflake & Data Build Tool (DBT) Architect at Sopra Steria

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, SQL, Data Testing, Data Governance, Data Quality, MDM Frameworks, Python, Data Quality Frameworks, Data Validation, Data Anomalies, Stakeholder Management, Documentation Skills, Monitoring Solutions, Operational Monitoring, Data Products, Automated Validation

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 Position: Data Quality Engineer Experience: 9 Years -12 Years Location: Noida Role Overview: We are looking for one Data Quality Engineer responsible for designing, implementing, and maintaining Data quality frameworks, validation processes, and monitoring solutions to ensure accuracy, completeness, and consistency of enterprise data. This role collaborates closely with Data Architects, Data stewards, and Data Governance teams to automate data validation, resolve data anomalies, and build trust in Data products. Experience: 9+ years of experience in design and implement data quality frameworks to assess data accuracy, consistency, completeness, and validity. Strong experience of defining, documenting, and managing Data quality rules, metrics, and thresholds for key data domains Strong experience of implementing automated validation and reconciliation processes across source and target systems Key Responsibilities: Provides operational monitoring and reporting on data quality through tools and indicators Onboards Data products Supports users in ensuring consistency, facilitating adoption and maintaining features backlog Configures quality rules, manages dashboards/KPIs, and runs monitoring checks Supports governance officers with indicators Automates checks Required Skills: Technical: Strong expertise in Snowflake Good Knowledge of SQL, and Data testing In-depth knowledge of Data Governance, Sifflets,Data Quality, and MDM frameworks Experience of working with Python Professional Competencies: Act as an advisor to Data Architects, Data Governance Officers, Data Product Owners and Managers Excellent documentation skills, Strong stakeholder management and Communication skills Qualifications BE / B.Tech/ MS/ M.Tech/ 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 Data Quality Engineer is responsible for designing, implementing, and maintaining data quality frameworks and monitoring solutions. This role involves collaborating with various teams to automate data validation and resolve data anomalies.