Data Engineer

13 hours ago

Bengaluru, India D Square Consulting Services Pvt Ltd Full time

JD - Data Engineer This is a full-time position with D Square Consulting Services Pvt Ltd. Location : Pan-india ( Hybrid). Experience : 5+ years. Notice Period : Candidates available to join immediately. Job Summary : We are seeking a skilled and experienced Data Engineer with strong Python expertise, API development experience, and a deep understanding of containerized, CI/CD-driven workflows. You will play a key role in designing, building, and scaling data pipelines and backend services that support our analytics and business intelligence platforms. This is a hands-on engineering role that requires a strong technical foundation and a collaborative mindset. Key Responsibilities :- Design, implement, and optimize robust, scalable data pipelines and ETL workflows using modern Python tools and libraries.- Build and maintain production-grade RESTful and/or GraphQL APIs to serve data to internal and external stakeholders.- Collaborate with Data Analysts, Scientists, and Engineering teams to enable end-to-end data solutions.- Containerize data services using Docker and manage deployments within Kubernetes environments.- Develop and maintain CI/CD pipelines using GitHub Actions to automate testing, data validations, and deployment processes.- Ensure code quality through rigorous unit testing, type annotations, and adherence to Python best practices.- Participate in architecture reviews, design discussions, and code reviews in an agile development process.- Proactively identify opportunities to optimize data access, transformation, and governance. Required Skills & Qualifications :- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.- 5+ years of hands-on experience in data engineering or backend development roles.- Expert-level Python skills, with a strong understanding of idiomatic patterns, async programming, and typing.- Proven experience in building production-grade RESTful or GraphQL APIs using frameworks like FastAPI, Graphene, or Strawberry.- Hands-on experience with Docker, container-based workflows, and CI/CD automation using GitHub Actions.- Experience working with Kubernetes for orchestrating deployments in production environments.- Proficient with SQL and data modeling; familiarity with ETL tools, data lakes, or warehousing concepts is a plus.- Strong communicator with a proactive and self-driven approach to problem-solving and Skills :- Familiarity with data orchestration tools (e.g, Airflow, Prefect).- Experience with streaming data platforms like Kafka or Spark.- Knowledge of data governance, security, and observability best practices.- Exposure to cloud platforms like AWS, GCP, or Azure. (ref:hirist.tech)

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