Senior AWS Data Engineer

About Persistent

We are an AI-led platform-driven Digital Engineering and Enterprise Modernization partner combining deep technical expertise and industry experience to help our clients anticipate whats next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India and numerous innovators across the healthcare ecosystem.

Our disruptors mindset commitment to client success and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation leadership and inclusion. We reported $1654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24sequential quarters of growth with $436.0M in Q4 FY26 revenue up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27500global team members located in 18 countries have been instrumental in helping the market leaders transform their industries. We have been recognized as theFastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in theEverest Group Private Equity (PE) Services PEAK MatrixAssessment 2026andSoftware Product Engineering PEAK MatrixAssessment 2026.

About Position:

We are seeking a skilled Senior AWS Data Engineer with 611 years of experience in building scalable high-performance data solutions using AWS Databricks Python PySpark and SQL. The ideal candidate will be responsible for designing developing and optimizing cloud-native data pipelines that support analytics reporting and business intelligence initiatives. This role requires strong expertise in data engineering best practices distributed data processing cloud architecture and data warehousing concepts. The candidate will work closely with architects analysts data scientists and business stakeholders to deliver reliable secure and scalable data solutions across enterprise platforms.

• Role:Senior AWS Data Engineer
• Location: All Persistent Locations
• Experience: 6 to 11 years
• Job Type: Full-Time Employment

What Youll Do:

• Design develop and maintain scalable data pipelines using AWS Databricks PySpark Python and SQL.
• Build robust ETL/ELT solutions to ingest transform and load structured and unstructured data from diverse source systems.
• Develop and optimize large-scale data processing workflows using PySpark and Databricks.
• Create and maintain data models curated datasets data marts and analytical layers for reporting and business intelligence.
• Leverage AWS services such as S3 Glue Lambda EMR and Redshift to build cloud-native data platforms.
• Implement data quality checks validation frameworks monitoring processes and automated reconciliation mechanisms.
• Optimize Spark jobs SQL queries and data pipelines for performance scalability and cost efficiency.
• Collaborate with business stakeholders data scientists analysts architects and application teams to understand requirements and deliver impactful solutions.
• Support data governance metadata management lineage tracking and security compliance across enterprise data platforms.
• Troubleshoot pipeline failures data quality issues performance bottlenecks and production incidents.
• Implement logging monitoring alerting and operational support procedures for data platforms.
• Contribute to CI/CD implementation deployment automation and infrastructure reliability initiatives.
• Participate in architecture discussions code reviews and technical design activities.
• Create and maintain technical documentation operational runbooks and engineering standards.

Expertise Youll Bring:

• 611 years of experience in Data Engineering and Data Platform Development.
• Strong experience designing and building scalable batch and near real-time data pipelines.
• Hands-on expertise with ETL/ELT frameworks data integration and transformation techniques.
• Experience working with large-scale datasets and distributed computing platforms.
• Strong understanding of data engineering best practices scalability and reliability.
• Hands-on experience with AWS services including S3 Glue Lambda EMR Redshift IAM CloudWatch and SNS.
• Strong understanding of cloud-native architectures security controls monitoring and cost optimization.
• Experience implementing enterprise data lake and analytics solutions on AWS.
• Knowledge of scalable cloud data platform design and architecture.
• Deep expertise in Databricks for enterprise-scale data engineering workloads.
• Strong proficiency in PySpark for distributed data processing and optimization.
• Experience with Delta Lake Spark SQL DataFrames and Spark performance tuning.
• Strong understanding of distributed processing concepts and scalable analytics architectures.
• Advanced programming skills in Python for data processing automation orchestration and pipeline development.
• Strong SQL expertise including complex query development stored procedures optimization and analytical processing.
• Experience working with relational and cloud-based database platforms.
• Strong understanding of query performance tuning and database optimization.
• Knowledge of dimensional modeling techniques including Star Schema and Snowflake Schema.
• Strong understanding of data warehousing concepts and analytical data platforms.
• Experience creating curated datasets semantic layers and reporting models for business intelligence initiatives.
• Ability to design scalable data models supporting analytical and operational workloads.
• Experience with Git CI/CD pipelines Agile methodologies and automation practices.
• Familiarity with monitoring logging and operational support processes.
• Experience implementing data quality frameworks testing approaches and platform reliability standards.
• Strong analytical troubleshooting and problem-solving capabilities.
• Ability to work effectively in fast-paced and collaborative environments.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties flexible work hours and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life personal accident and Mediclaim hospitalization for self spouse two children and parents

Values-Driven People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals including those with disabilities and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• Our office is accessibility-friendly with ergonomic setups and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements please inform us during the application process or at any time during your employment

Lets unleash your full potential at Persistent- is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.