Data Engineer & Data Architecture Lead

Capgemini

3–10 yrs Pune, Hyderabad, Mumbai, Bengaluru Full Time Hybrid (office + remote)
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Posted : today
Actively hiring

Job description

Join Capgemini and drive innovation in enterprise-scale data solutions. We are seeking a skilled Data Engineer & Data Architecture Lead to design and implement robust data integration and ETL/ELT pipelines across cloud and hybrid environments.

This role offers the opportunity to shape your career within a collaborative global community and reimagine what's possible with technology. You will contribute to building a more sustainable and inclusive world by helping leading organizations unlock the full value of their data.

Responsibilities

Architect and deploy enterprise-level Data Engineering and Data Architecture solutions within cloud and hybrid infrastructures. Develop sophisticated data integration and ETL/ELT pipelines utilizing tools such as Microsoft Fabric, Azure Data Factory (ADF), Databricks, Synapse, SQL, Python, and Spark. Establish and enforce standards for Data Governance, data quality, security, metadata management, and overall architectural integrity for data platforms. Design scalable architectures using the Azure Data Stack, seamlessly integrating data from diverse sources like Oracle, SAP, Salesforce, and PostgreSQL. Provide essential technical leadership for data engineering projects, guiding architectural decisions, conducting design reviews, optimizing performance, and fostering collaboration with stakeholders.

Qualifications

Demonstrate extensive experience in Data Engineering, Data Architecture, Data Integration, and Data Governance, with a proven ability to architect comprehensive enterprise data solutions. Possess hands-on proficiency with Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse Analytics, SQL, Python, and Spark. Exhibit a strong grasp of data lakes, lakehouse architecture, data warehouses, ETL/ELT frameworks, and cloud-based data platform principles. Familiarity with AWS Data Engineering, GCP Data Engineering, Airflow, Oracle, SAP, Salesforce, and PostgreSQL is highly beneficial. Experience with reporting and analytics tools like Power BI and Microsoft BI, coupled with strong technical leadership and stakeholder management skills, is expected.

Essential Skills

Data EngineeringData ArchitectureData IntegrationData GovernanceMicrosoft FabricDatabricksAzure Data FactoryAzure Synapse AnalyticsSQLPythonSparkAzure Data StackPower BIMicrosoft BITechnical LeadershipStakeholder Management

Good to Have

AWS Data EngineeringGCP Data EngineeringAirflowOracleSAPSalesforcePostgreSQL

Highlights

  • Actively hiring

More Details

RoleData Engineer & Data Architecture Lead
DepartmentData Engineering
Employment TypeFull Time, Hybrid (office + remote)

About the Company

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Capgemini

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