Overview
Lead a blended team of analysts and technical practitioners building trusted, scalable data assets for data warehouses, analytics and process modernization. The role designs the roadmap, guides architectural direction and partners with technology teams to move designs into enterprise-grade production pipelines.
What you'll do
- Deliver functionality with accountability and technical excellence.
- Demonstrate hands-on experience with AWS services.
- Design and implement solutions aligned with enterprise architecture and standards.
- Leverage DevOps tools (e.g., Github, Jenkins, Terraform, Liquibase) to streamline deployment and operational processes.
- Automate data workflows, validation and monitoring to improve efficiency and reduce manual intervention.
- Conduct peer code reviews, manage merge requests and oversee production releases.
- Apply Agile principles in design, development and delivery.
- Collaborate effectively in a high-performing team environment.
- Demonstrate ownership, innovation and a proactive approach to problem-solving.
- Collaborate with other scrum teams on design, testing and related engineering activities.
- Define data needs and support the creation of test data for unit, system and integration testing.
- Manage and provide day-to-day leadership for a small team of engineers, guiding technical decisions, coaching team members and ensuring high-quality delivery and adherence to coding standards.
- Engineer scalable cloud-based solutions using AWS services, Databricks, Teradata Vantage and CI/CD frameworks.
- Interpret business logic with subject matter experts for engineering purposes.
- Define, document and complete system requirement specifications, including functional and non-functional requirements.
- Support business requirement definition, including helping the Product Owner write user stories and acceptance criteria.
What you'll need
- Bachelor's degree in Engineering, Computer Science or a related discipline with 15 to 20 years of experience in application program development, or the equivalent in education and work experience.
- Working knowledge of Python, Databricks, SQL and Unix.
- Extensive hands-on experience in AWS services such as Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS and IAM.
- Experience working with Spark and real-time analytic frameworks.
- Documented experience in a business intelligence or analytic development role on a variety of large-scale projects.
- Working experience relevant to standard SDLC (build, test, deploy) and building web services (HTTP API/RPC).
- Ability to rapidly prototype and storyboard/wireframe development as part of application design.
- Write referenceable and modular code.
- Willingness to continuously learn and share learnings with others.
- Ability to communicate design processes, ideas and solutions clearly and effectively to teams and clients.
- Strong leadership and people management skills, with experience managing and guiding a small team of engineers.
Nice to have
Details
- Location: Hyderabad, India.
Read the full description and apply on the company’s own careers page.