Talent.com
Senior AWS Data Engineer

Senior AWS Data Engineer

Weekday AIIN
2 days ago
Job type
  • Remote
  • Quick Apply
Job description

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.

Requirements

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
  • Create a job alert for this search

    Senior Data Engineer • IN