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Senior AWS Data Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 3000000 - Rs 3500000 (ie INR 30-35 LPA). Min Experience: 8 years. Location: Remote (India). JobType: full-time. We’re looking for an experienced . Senior AWS Data Engineer. to design, build, and maintain the systems that power data-driven decision-making. You’ll architect and optimize scalable data pipelines and databases across platforms such as . Amazon Redshift, Snowflake, and MSSQL. , ensuring reliability, accessibility, and performance at scale. If you’re passionate about solving complex data challenges, fine-tuning performance, and becoming a trusted data expert within a collaborative engineering environment — this role is for you.. What You’ll Do. Design and maintain . scalable, efficient, and well-structured schemas. across Redshift, Snowflake, and MSSQL. . Architect and optimize . complex queries, stored procedures, indexing strategies, and partitioning. for large datasets. . Build, monitor, and manage . high-performance data pipelines. to ensure timely and accurate data delivery. . Own and maintain . data refresh SLAs. , ensuring availability, consistency, and reliability across all environments. . Collaborate with . engineering, analytics, and DevOps. teams to align data models with product and reporting requirements. . Proactively identify and resolve . performance bottlenecks, slow queries, and data inconsistencies. . . Implement and manage . schema migration and versioning workflows. for seamless database changes. . Define, enforce, and evangelize . best practices for data security, governance, and observability. . . What You’ll Bring. . 8+ years. of experience in data engineering or backend systems development. . . 4+ years. of hands-on experience with . AWS data stack. — particularly Amazon Redshift and Snowflake — including schema design and performance tuning. . Proven experience designing and maintaining . ETL/ELT pipelines. that ensure data freshness, quality, and reliability. . Strong command of . SQL, T-SQL, and query optimization. , including indexing, partitioning, and relational modeling. . Experience leading or owning database architecture initiatives within a development team. . Familiarity with . Git/Bitbucket. and CI/CD processes for version control and deployment. . Strong analytical and problem-solving mindset with a proactive approach to identifying and mitigating data risks. . Ability to . translate business and product requirements into scalable data solutions. in collaboration with cross-functional teams. . Experience writing . robust scripts, functions, and stored procedures. to automate data workflows. . Hands-on experience in . diagnosing, troubleshooting, and resolving. data-related issues to ensure smooth operations. . Key Skills. . Amazon Redshift. , . Snowflake. , . MSSQL. . . AWS Data Services (Glue, Lambda, S3, etc.). . . ETL/ELT Pipeline Development. . . SQL & Query Optimization. . . Schema Design & Data Modeling. . . Data Governance & Observability. . Company Location: India.