Jobgether is looking for a Senior AWS Data Engineer to design, build, and maintain scalable data systems that drive data-driven decision-making. You will architect and optimize data pipelines and databases across platforms such as Amazon Redshift, Snowflake, and MSSQL, ensuring performance, reliability, and accessibility at scale.
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
- Maintain data refresh SLAs and ensure consistency, availability, and reliability across all environments
- Collaborate with cross-functional teams to align data models with product and reporting requirements
- Identify and resolve performance bottlenecks, slow queries, and data inconsistencies
- Implement schema migration and versioning workflows for seamless database changes
- Define and promote best practices for data security, governance, and observability
What We're Looking For
- 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 expertise in designing and maintaining ETL/ELT pipelines to ensure data quality and reliability
- Strong command of SQL, T-SQL, and query optimization techniques, including indexing, partitioning, and relational modeling
- Experience leading 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 skills with a proactive approach to mitigating data risks
- Ability to translate business and product requirements into scalable data solutions collaboratively
- Hands-on experience in scripting, stored procedures, and automating data workflows
- Skilled in diagnosing, troubleshooting, and resolving data-related issues efficiently
Technical Stack
- Amazon Redshift, Snowflake, MSSQL
- AWS
- SQL, T-SQL
- Git/Bitbucket
Team & Environment
You will collaborate closely with engineering, analytics, and DevOps teams.
Benefits & Compensation
- Competitive salary range: ₹30,00,000 – ₹35,00,000 per annum
- Flexible remote work environment
- Opportunities for professional growth and skill development
- Exposure to modern AWS data technologies and large-scale data systems
- Collaborative and innovative engineering culture
- Health and wellness support, including insurance options
Work Mode
This is a fully remote position based in India.
Jobgether is an equal opportunity employer.
