Senior AWS Data Engineer (Remote - India)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AWS Data Engineer in India.

We are seeking an experienced and highly skilled Senior AWS Data Engineer to design, build, and maintain scalable data systems that drive data-driven decision-making. In this role, 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. You will collaborate closely with engineering, analytics, and DevOps teams to implement robust ETL/ELT processes, monitor data quality, and optimize query performance. This role is ideal for someone who enjoys solving complex data challenges, fine-tuning systems for efficiency, and contributing as a trusted expert in a collaborative engineering environment.

Accountabilities:

• 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.

Requirements

• 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.

Benefits

• 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.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the company that owns the job opening, which manages the final decision and next steps, including interviews or assessments.

Thank you for your interest!