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Technical lead

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Onsite

Technical lead

JRD Systems

Technical lead

Skills

SQL QueriesData EngineeringFlaskPythonNumPypandasRedisGitLabData AnalysisAWS

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

25 August 2026

What they need


The Team: At Mobility Global, we re investing in technology to develop new products that help our customers drive their growth and transformation agenda. These include new data integration, advanced analytics, and modern applications that address new customer needs and are highly visible and strategic within the organization. Do you love building products on platforms at scale while leveraging cutting edge technology Do you want to deliver innovative solutions to complex problems If so, be part of our mighty team of engineers and play a key role in driving our business strategies.

The Impact:

We stand at cross-roads of innovation through Data Products to bring a competitive advantage to our business through the delivery of automotive forecasting solutions. Your work will contribute to the growth and success of our organization and provide valuable insights to our clients.

What s in it for you:

We are looking for an innovative, mission-driven Technical Lead with strong backend engineering, data pipeline, design, and architecture experience to make a significant impact by designing and delivering AWS cloud-native solutions that enable analysts to forecast long- and short-term trends in the automotive industry. This role requires hands-on technical depth, proven experience in solution design and system architecture, and the ability to lead engineering teams in a fast-paced, collaborative, and dynamic environment.

Responsibilities:

  • Lead the design, architecture, development, and maintenance of scalable backend services, data pipelines, and complex engineering solutions

  • Design and build scalable, resilient, and maintainable data pipelines to support large-volume data ingestion, transformation, processing, and delivery across cloud-native platforms

  • Optimize data pipelines for performance, throughput, cost efficiency, monitoring, and fault tolerance while ensuring secure and governed data movement

  •    Architect        and        build high-performance        UI backend services using Python        and Flask ensuring        scalability, reliability, and        responsiveness
    
  • Ensure data quality and integrity through robust validation processes

  • Strong understanding of data integration and data modeling concepts

  • Provide technical leadership, mentor engineers, review designs and code, and drive engineering best practices across the team

  • Collaborate with product owners, architects, data scientists, analysts, and cross-functional engineering teams to translate business requirements into robust technical designs

  • Collaborate with data scientists and analysts to optimize data flow and storage for advanced analytics

  • Take ownership of key modules and architecture decisions, ensuring timely delivery, high quality, maintainability, and alignment with software development best practices

What We re Looking For:

  • Bachelor s degree in computer science, or a related field

  • Strong analytical, problem-solving, communication, and stakeholder management skills, with the ability to influence technical direction

  • Minimum 8+ years of hands-on software engineering experience, with strong exposure to backend development, data engineering, advanced analytics, or cloud-native platforms

  • Proven experience in technical leadership, solution design, system architecture, design reviews, and mentoring engineering teams

  • Ability to define scalable architecture patterns, evaluate technical trade-offs, and guide teams through complex implementation decisions

  •    Proficiency in Python and experience with Flask for backend development.
    
  • Strong knowledge of object-oriented programming.

  • AWS Proficiency is Mandatory: ECR, Containerization, Batch, Step Functions, Redis, Dynamodb

  • Experience with SQL and data warehousing is desirable

  • Experience with data manipulation libraries and analytical frameworks such as such as Spark, Pandas, Polars, NumPy, Metaflow

  • Experience with Gitlab CI/CD or similar tools for continuous integration and deployment

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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