01Overview
Job Description Role: Software Engineer Location: Bangalore / Mumbai Who are we looking for A highly skilled individual with 5+ Years of strong experience in ETL/data pipelines using PySpark, AWS Glue, and Apache Iceberg, microservices and APIs (Java/Spring Boot or Python).
Technical Skills: ETL/data pipelines using PySpark, AWS Glue, and Apache Iceberg, microservices and APIs (Java/Spring Boot, Python), CI/CD pipelines (Jenkins, Spinnaker, Terraform/CloudFormation), AWS cloud services (S3, Glue, Lambda, IAM, RDS/Aurora, SQL and relational databases (e.g., PostgreSQL).
Job Responsibilities
Design, build, and maintain production-grade ETL/data pipelines using PySpark, AWS Glue, and Apache Iceberg.
Develop and operate backend microservices and APIs (Java/Spring Boot, Python).
Write clean, well-tested, maintainable code with strong unit and integration test coverage.
Build and manage infrastructure-as-code and CI/CD pipelines (Jenkins, Spinnaker, Terraform/CloudFormation).
Optimize data workflows for performance, cost, and reliability.
Collaborate with data engineers, analysts, and product stakeholders to translate requirements into robust solutions.
Participate in design and code reviews; troubleshoot production issues and drive root-cause fixes.
Mentor junior engineers and contribute to engineering best practices.
Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.
Required
Qualifications, Capabilities, And Skills Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience).
5+ years of professional software engineering experience.
Strong proficiency in at least one of Python or Java, plus solid software design fundamentals.
Hands-on experience with AWS cloud services (S3, Glue, Lambda, IAM, RDS/Aurora).
Experience building data pipelines and working with SQL and relational databases (e.g., PostgreSQL).
Familiarity with distributed data processing (Spark) and data lake/table formats.
Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
Proficiency with Git-based workflows and CI/CD practices.
Strong testing discipline (unit, integration) and debugging skills. Whats in for you At Mphasis, we promise you the perfect opportunity of building technical excellence, understand business performance and nuances, be abreast with the latest happenings in technology world and enjoy a satisfying work life balance.
You get an open and transparent culture along with freedom to experimentation and innovation. Who are we Mphasis is a leading IT solutions provider, offering Applications, Business Process Outsourcing (BPO) and Infrastructure services globally through a combination of technology knowhow, domain and process expertise.
Over the years we have left an indelible impression in the IT solutions domain with an impressive clientele and an extensive global presence. The accolades we have been garnering can be attributed to our undeterred focus in delivering quality solutions across verticals that meet the challenging requirements of our esteemed customers. Our integrated solutions offering is aimed at creating value for our customers, helping them in improving their business processes with minimum hassles and capital outlays. .
