Transformative Data Architect

2 weeks ago


bangalore, India beBeeDataEngineer Full time

Senior Data EngineerWe are seeking an experienced Senior Data Engineer to join our team. In this role, you will be responsible for designing and developing data systems, including pipelines, APIs, analytics, AI, and machine learning at scale.Key Responsibilities:Designing and implementing scalable and maintainable data pipelines and APIs.Collaborating with senior engineers, analysts, and product stakeholders to translate technical requirements into working solutions.Developing and supporting batch and real-time data flows, ensuring reliability and performance in 24x7 environments.Contributing to data modeling, transformation logic, and system design decisions in support of reporting, analytics, and data delivery needs.Participating in the end-to-end software development lifecycle - including planning, testing, deployment, and operations.Taking ownership of features and components, and seeing them through from design to deployment.Documenting technical decisions, workflows, and runbooks to support long-term maintainability and clarity for peers.Practicing responsible data governance, ensuring data quality, privacy, and lineage are considered in all development.Continuously learning and growing through code reviews, pairing, and technical mentorship.RequirementsTo be successful in this role, you should have:2-4 years of development experience, with production systems in cloud environments.Proficient in Python and/or Golang, and SQL for data processing, transformation, and orchestration tasks.Experience with at least one modern cloud platform (e.g., GCP, AWS, or Azure).Experience developing REST or GraphQL APIs and internal data access layers.Experience building and maintaining ETL/ELT pipelines or API-driven data services.Experience with source control (e.g., Git), automated testing, and CI/CD practices.Exposure to orchestration tooling such as n8n, Cloud scheduler, Airflow, Step Functions, or similar.Understanding of data modeling concepts and cloud warehousing (e.g., Databricks, BigQuery, Snowflake or other).Familiarity with Kafka, Pub/Sub, or other event-based systems.Awareness of data quality, observability, and governance principles in engineering contexts.Strong written and verbal communication skills, with an ability to share context with both technical peers and cross-functional partners.Experience working with containerized environments (e.g., Docker, Kubernetes).Exposure to infrastructure-as-code, especially for deploying and managing data workflows.Hands-on use of BI tools like Looker or Tableau.What We OfferAs a Senior Data Engineer, you will have the opportunity to work on challenging projects, collaborate with a talented team, and contribute to the growth and success of our organization.We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.If you are passionate about data engineering and want to be part of a dynamic team, please submit your resume and cover letter to us.



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