Job Title: Senior Data Engineer Experience : 5 years Location : Hyderabad About the Role We’re looking for a Data Engineer to join our team and help build the data foundation that powers analytics, experimentation, machine learning, and operational decision-making . What You’ll Do Build trusted data products: Design and maintain dbt models that produce reliable datasets, metrics, and features used by Data Science, Analytics, ML, and business teams. Develop scalable data pipelines: Build and operate Databricks and PySpark pipelines that transform raw operational events into high-quality, analysis-ready data. Understand the business: Develop deep familiarity with company's operations so that the schemas, datasets, and models you build accurately represent how the business works. Orchestrate workflows: Build and manage end-to-end data workflows using Airflow, with Prefect where appropriate, ensuring reliable SLAs for daily models, dashboards, and operational decisions. Partner with Data Science: Collaborate with Data Scientists to design, productionize, and maintain feature pipelines and the data infrastructure supporting ML models. Raise the quality bar: Participate in code reviews and improve data quality, testing, observability, documentation, and engineering standards across the team. Optimize for scale: Improve dbt and Spark workloads for performance, cost, reliability, and maintainability as data volumes grow. Learn and adapt: Quickly pick up new technologies and approaches by working with teammates, documentation, experimentation, and hands-on problem solving. Embrace AI-native engineering: Use modern AI coding assistants and agentic development workflows to improve productivity, engineering quality, and experimentation. What You Bring 5 years of experience building,



testing, and deploying data engineering systems in production. Robust SQL skills and production experience with one or more of PySpark, dbt, or Airflow . Experience working with at least one distributed data system , with a solid understanding of concepts such as consistency, latency, throughput, scalability, and fault tolerance. Experience with Infrastructure as Code , using technologies such as Terraform, AWS CDK, or Pulumi. Strong interest in or understanding of supply chain, logistics, or operational data challenges . A self-starter mindset with the ability to take ownership, move quickly, and ship high-quality solutions. Strong collaboration skills and enthusiasm for solving complex, novel problems with teammates. Excellent written and verbal communication skills in English. Experience with modern data technologies such as: dbt, Databricks, PySpark / Spark, Airflow, Prefect, SQL, Delta Lake / Apache Iceberg Familiarity with the broader data stack — including Kinesis, EMR, Sigma, or Pulumi — is a plus. Comfortable using modern AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or similar tools . Experience with AI-native engineering workflows, including prompting, agentic tooling, evaluation, retrieval, and AI-assisted development . A demonstrated interest in or experience with LLMs , evaluating model outputs, or integrating AI into data pipelines and internal engineering tools is a plus. Nice to Have Experience designing or working with data lakehouse architectures , particularly Delta Lake or Apache Iceberg. Production experience with Kinesis or other streaming technologies . Exposure to MLOps or working closely with ML/AI teams. Experience collaborating with US-based engineering teams across multiple time zones .

📌 Senior Data Engineer (Telangana)
🏢 Hireologist
📍 Telangana