Posted on: 06/10/2025
Key Responsibilities :
- Architect and guide implementation of Data Lakes, Lakehouses, and Data Warehouses using tools such as Snowflake, Microsoft Fabric, and Delta Lake.
- Design and implement scalable, secure, and high-performing Big Data architectures across AWS and Azure.
- Develop robust ETL/ELT pipelines using modern data services like AWS Glue, Azure Data Factory, Spark, and custom scripts in Python/SQL/PLSQL.
- Integrate structured and unstructured data sources using API integrations, event-driven pipelines, real-time data ingestion, and batch processing.
- Lead the BI and analytics layer strategy using tools such as Tableau, Power BI, and Qlik Sense for enterprise reporting and dashboarding.
- Design and implement data models (conceptual, logical, physical) that support both operational and analytical requirements.
- Establish and enforce data governance, data security, and data quality standards across platforms.
- Drive initiatives in data observability, monitoring data pipelines, identifying issues, and ensuring SLA adherence.
- Serve as a technical SME and advisor to both internal teams and clients-translating business needs into technical solutions.
- Lead architectural reviews and provide guidance on data best practices and cloud optimization.
- Develop and deliver technical presentations to executive and non-technical stakeholders.
Domain Experience (Good to Have) :
- Exposure to BFSI domain, including understanding of risk management, regulatory compliance (Basel III, PCI DSS), fraud detection, and financial data workflows.
- Familiarity with Retail data challenges such as supply chain analytics, customer behavior tracking, inventory management, and omni-channel reporting.
- Experience with Pharma and Healthcare sectors, including clinical data management, regulatory compliance (HIPAA, GDPR), patient analytics, and drug safety data.
- Ability to adapt data architecture and BI solutions to domain-specific requirements across these industries, supporting both operational and strategic business goals.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1556342
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