Senior Software Engineer, Data

6 - 11 years

5 - 9 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design and implement

    high-throughput, low-latency FastAPI services

    to handle real-time and batch workloads for data and AI applications
  • Build

    data pipelines

    using

    dbt and Redshift

    , ensuring models are accurate, scalable, and production-ready
  • Work with Amazon Redshift to design, tune, and maintain large-scale analytical data stores.
  • Develop and maintain ETL/ELT workflows for ingestion, transformation, and processing of structured and semi-structured data, supporting analytics and business intelligence needs.
  • Leverage AWS services (S3, Lambda, Glue, Step Functions, Kinesis, etc.) to build robust, cloud-native data solutions.
  • Ensure observability, reliability, and performance tuning for APIs and data workflows handling high-volume operations.
  • Data Integration: Work with data from a variety of sources, databases, APIs, and files to create unified datasets optimized for analytics and machine learning.
  • Data Quality & Governance: Implement data quality checks with tools like dbt Expectations to maintain data accuracy, integrity, and consistency, and ensure compliance with data governance practices.
  • Performance Optimization: Enhance system performance, scalability, and efficiency by optimizing data processing systems.
  • Cross Collaboration: Partner with data scientists, analysts, and software engineers to translate business needs into robust data solutions.
  • Documentation: Maintain documentation for data architecture, workflows, and systems to support scalability and ease of maintenance.
What Cowbell needs from you:
  • Educational Background

    : A Bachelor s or Master s degree in Computer Science, Information Technology, Engineering, or a closely related field.
  • Professional Experience

    : 6+ years in a Software Developer, Data Engineer, or similar role.

Technical Skills:

    • Proven expertise in Python (async, concurrency, and multithreading), Pandas, Spark, building FastAPI (or equivalent) services for high-scale, production-grade use cases.
    • Strong knowledge of

      real-time and batch data processing

      architectures.
    • Solid understanding of

      Amazon Redshift, PostgreSQL

      performance tuning and query optimization.
    • Extensive expertise with

      AWS ecosystem

      for data engineering (S3, DMS, Glue, Redshift, EMR, Kinesis, Athena, RDS, Lambda, CloudWatch, ECS, EC2).
    • Competency with

      ETL/ELT principles

      and distributed systems.
    • Strong understanding of data modeling, data architecture, and best practices in data governance.
    • Strong problem-solving and communication skills, with the ability to work in fast-paced, cross-functional teams.

Soft Skills:

    • Problem-solving abilities with a keen attention to detail.
    • Capable of working both independently and within a team setting.
    • Strong communication and collaboration skills.
    • Flexibility to adapt to new technologies and a commitment to continuous learning.

Preferred Qualifications:

    • Exposure to

      LLM integration and AI-powered APIs

      .
    • Knowledge of

      Infrastructure-as-Code (Terraform, CloudFormation)

      and

      Kubernetes

      for deploying data/AI services.
    • Experience with real-time data streaming technologies (e.g., Kafka, Flink) is a plus.
    • Familiarity with containerization (Docker) and orchestration tools (Kubernetes).
    • Understanding of data security, compliance, cyber security, and privacy best practices.

What Cowbell brings to the table:

  • Employee equity plan for all and wealth enablement plan for select customer facing roles
  • Comprehensive wellness program, meditation app subscriptions, lunch and learn, book club, happy hours and much more
  • Professional development and the opportunity to learn the ins and outs of cyber insurance, cyber security as well as continuing to build your professional skills in a team environment

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