Data Analyst

Location: Gurgaon Notice Period: Immediate joiners preferred (within 15 days) Domain Preference: Any (Banking / Financial Services preferred) Role Overview We are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and data architectures. The role requires strong expertise in modern data engineering tools and cloud platforms to support advanced analytics, data warehousing, and business intelligence initiatives. Key Responsibilities

• Design, build, and maintain robust, scalable data pipelines and workflows
• Develop and manage ETL/ELT processes to transform and ingest data from multiple sources
• Work with large-scale data processing frameworks such as Py Spark and Databricks
• Implement and maintain data models using DBT (Data Build Tool)
• Orchestrate workflows using tools like Apache Airflow
• Design and optimize data warehousing solutions (Redshift, Delta Lake, Postgre SQL)
• Ensure data quality, consistency, and governance across the ecosystem
• Collaborate with data analysts, data scientists, and business stakeholders to meet data requirements
• Optimize query performance and ensure efficient data storage and retrieval
• Build and maintain integration with AWS data services such as S3 and Lambda
• Troubleshoot and resolve performance, scalability, and availability issues

We are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and data architectures. The role requires strong expertise in modern data engineering tools and cloud platforms to support advanced analytics, data warehousing, and business intelligence initiatives. Key Responsibilities