About The Opportunity
A fast-scaling technology services firm operating in the Enterprise Data & Analytics domain, we specialize in designing, deploying, and optimizing modern data warehouse architectures for clients across BFSI, Retail, and Manufacturing sectors. We enable data-driven decision-making through scalable cloud-based data platforms, ETL/ELT pipelines, and BI-ready semantic layers—powering dashboards, AI/ML models, and real-time analytics.
Role & Responsibilities
- Design and implement enterprise-grade data warehouse architectures on cloud platforms (Snowflake, Redshift, BigQuery) and on-prem (Teradata, SQL Server).
- Develop and optimize ETL/ELT workflows using tools like Informatica, Talend, Azure Data Factory, or AWS Glue for high-volume, complex data ingestion and transformation.
- Collaborate with stakeholders to define data models (star/snowflake schemas), dimensional modeling, and data lineage documentation.
- Ensure data quality, governance, and performance tuning across staging, ODS, and DWH layers with automated validation and monitoring.
- Integrate data warehouses with BI tools (Tableau, Power BI, Looker) and support semantic layer creation for business users.
- Lead client workshops, gather requirements, and deliver technical documentation aligned with enterprise data strategies.
Skills & Qualifications
Must-Have
- Snowflake
- Redshift
- BigQuery
- Informatica
- Talend
- Azure Data Factory
- SQL
- Dimensional Modeling
Preferred
- Apache Airflow
- dbt
- Power BI
Benefits & Culture Highlights
- Work with Fortune 500 clients across global industries and solve high-impact data challenges.
- Access to certified training programs and cloud platform certifications (AWS/Azure/GCP).
- Performance-driven culture with clear growth paths into Lead/Architect roles.
Skills: data,etl,data warehouse
