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Tier-1 brand, mid-level generalist data role in metro with common GCP skills boosts applicant competition.
Data engineering skills transfer across industries, though GCP and logistics domain specifics moderately limit portability.
Explicit 5–8 years requirement plus mandatory GCP and data engineering skills enforce strict shortlisting.
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Develop, optimize, and maintain scalable batch and near-real-time data pipelines on Google Cloud Platform (GCP) using tools like Cloud Composer, Dataflow, and Cloud Storage.
Create, maintain, and optimize analytical data models in BigQuery to support reporting, business intelligence, and data quality initiatives.
Support production operations including troubleshooting data issues, ensuring data governance, and collaborating with analysts, scientists, and engineering teams to ensure data usability.
5–8 years of relevant work experience in data engineering.
In-depth experience with GCP technologies: BigQuery, Cloud Composer, Dataflow, Cloud Storage.
Proficient in Python, advanced SQL, and Spark-style processing frameworks.
Location: Hyderabad, India (In-office). Bachelor's degree or equivalent in Computer Science, MIS, Mathematics, Statistics, or related discipline required.
Experienced in designing and operating cloud-based data engineering workflows at scale, particularly on GCP.
Familiar with DevOps best practices including Git and CI/CD pipelines applied to data workloads.
Able to mentor junior engineers and contribute to technical standards and Agile delivery processes.