What You'll Do
Lead Projects End-to-End
Lead data engineering projects from the ground up, owning design and architecture decisions
Set the engineering standards the team builds against — and hold your own work to the same bar
Stay hands-on in the code on key projects, mentoring engineers through reviews and pairing
Architect and Build Data Infrastructure
Design and implement ETL/ELT pipelines that hold up under real production load
Build advanced database solutions in Oracle Cloud Database and PostgreSQL — database architecture, query refinement, stored procedures
Develop cloud-native data solutions on Google Cloud Platform that scale with client demand
Raise the Engineering Bar
Set the standard for maintainability, testing, and documentation, and own resolution of the hardest technical problems
Bring CI/CD and infrastructure-as-code into delivery, working alongside DevOps to keep releases fast and clean
Monitor system performance and get ahead of issues before clients see them
Own Delivery
Run sprint planning and manage timelines so complex projects land on time and at quality
Coordinate dependencies across engineering, operations, and client-facing teams
Weigh in on hiring and onboarding decisions as the team scales
What You'll Need
7+ years in data engineering, database development, or a related technical subject area
3+ years leading or managing engineering teams, proven in mentoring engineers and delivering results
Deep expertise in Oracle’s cloud-based database systems development, including PL/SQL, performance tuning, and cloud-native features
Advanced PostgreSQL skills — schema design, query tuning, indexing, and database administration
Hands-on experience with various services within Google's cloud ecosystem such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, or Cloud Composer
Strong Python and SQL, with a track record of writing clean, production-quality code
Experience with Git, CI/CD pipelines, and agile development
Strong problem-solving instincts for complex, multi-source data environments
Clear communicator who can work across technical and non-technical teams
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent experience
Future-Ready Skills (Nice to Have)
Experience with Azure services (Data Factory, Synapse Analytics, Azure SQL Database, Data Lake Storage)
Hands-on work with Databricks for data processing, analytics, or machine learning workflows
Familiarity with AI-enabled workflows and tools for data quality, observability, or automated pipeline generation
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Benefits
We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.
We are an equal opportunity employer
We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.
