Added 7 Nov 2026 · Engineering
Job description
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : AWS Glue
Good to have skills : Python (Programming Language), PySpark
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Custom Software Engineer, you will engage in the development of custom software solutions that are designed to meet specific business needs. Your typical day will involve collaborating with cross-functional teams to design, code, and enhance various components across systems or applications. You will utilize modern frameworks and agile practices to ensure the delivery of scalable and high-performing solutions, while also addressing any challenges that arise during the development process. Your role will require a proactive approach to problem-solving and a commitment to continuous improvement in software development practices.
Roles & Responsibilities:
Build & Maintain Data Pipelines: Develop scalable, reliable ETL/ELT workflows using Python and AWS Glue (Jobs/Workflows), Lambda, and Step Functions where applicable.
Data Lake Engineering: Design and optimize S3-based data lakes (partitioning, lifecycle policies, storage classes) with robust metadata strategies using AWS Glue Data Catalog.
Security & Governance: Implement AWS IAM policies/roles, fine-grained access controls for S3, KMS-based encryption, and audit-ready logging (CloudTrail/CloudWatch).
Automation & CI/CD: Familiarity with Git, code reviews, and automated testing for data code. Package and deploy jobs/functions, maintain unit/integration tests, and set up CI/CD pipelines.
Serverless & Event-Driven: Build event-driven data processing with S3 events, Lambda triggers optimize for cost, concurrency, and resilience.
Data Quality & Observability: Implement validation, schema enforcement (e.g., Glue schemas), logging/monitoring, and alerting for pipelines and jobs.
Collaboration: Work closely with data platform, analytics, and governance teams to ensure reliability, scalability, and compliance.
(If Databricks): Develop notebooks/jobs, Delta Lake optimization (Z-ordering, OPTIMIZE/VACUUM), cluster/pool usage, and job orchestration.
Professional & Technical Skills:
- Must to Have Skills: Proficiency in AWS Glue, Python (Programming Language), PySpark.
- Strong understanding of data integration and ETL processes.
- Experience with cloud computing services and architectures.
- Familiarity with agile methodologies and software development life cycle.
Additional Information:
- The candidate should have minimum 5 years of experience in AWS Glue, Python (Programming Language), PySpark.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
15 years full time education Important Notice
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Pay, skills & work eligibility
Compensation
A clear compensation amount was not identified. Ask the employer for the range, currency, pay period and whether it covers base pay or total compensation.
Location, eligibility & working hours
- Listed work location
- Bengaluru, India
- Visa sponsorship
- Not stated clearly
- Relocation support
- Not stated clearly
- Working hours / time zone
- Not stated clearly
- Work authorization wording
- All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by
Remote does not automatically mean work from any country. A location match does not confirm work authorization, sponsorship or relocation eligibility.
Requirements at a glance
Experience mentioned: 5+ years
Named skills identified in the listing. A mention is not always a requirement; read the full description and employer conditions.
Location & work arrangement
Listed work locations
- Bengaluru, India