Transformative Data Engineer

6 days ago


madurai, India beBeeDataEngineer Full time

Job Description:Contribute to the Design and Development of Data SystemsDesign, develop, and maintain data pipelines, APIs, analytics, AI, and machine learning systems at scale.Collaborate with senior engineers, analysts, and product stakeholders to translate technical requirements into working solutions.Develop and support APIs, batch and real-time data flows, ensuring reliability and performance in 24x7 environments.Contribute to data modeling, transformation logic, and system design decisions in support of reporting, analytics, and data delivery needs.Participate in the end-to-end software development lifecycle - including planning, testing, deployment, and operations.Take ownership of features and components, and see them through from design to deployment.Document technical decisions, workflows, and runbooks to support long-term maintainability and clarity for peers.Practice responsible data governance, ensuring data quality, privacy, and lineage are considered in all development.Continuously learn and grow through code reviews, pairing, and technical mentorship.Required Skills and Qualifications: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.A growth mindset and interest in mentoring junior peers or learning from senior engineers.Benefits:Opportunity to work on high-profile projects.Chance to collaborate with experienced engineers and analysts.Professional growth and development opportunities.Competitive compensation and benefits package.Recognition and rewards for outstanding performance.Others:Continuous learning and professional development.Mentorship opportunities for junior peers.Supportive team environment.Flexible work arrangements.



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