Sr. Applications Developer

Overview

Lead GCP Data Engineer role focused on building reliable, scalable data pipelines and migrating on-prem data pipelines to the GCP stack.

What you'll do

• Design, build and deploy internal applications to support the technology life cycle, collaboration and spaces, service delivery management, and data and business intelligence.
• Build modular code for multi-usable pipelines or complex ingestion frameworks that load data into a Datalake or Data Warehouse from multiple sources.
• Create custom-built pipelines and migrate on-prem data pipelines to the GCP stack.
• Work closely with analysts and business process owners to translate business requirements into technical solutions.
• Maintain the highest levels of development practices, including technical design, solution development, systems configuration, test documentation and execution, issue identification and resolution, and writing clean, modular and self-sustaining code.

What you'll need

• Experience in software development, data engineering, business intelligence, or a related field, with experience manipulating, processing, and extracting value from datasets.
• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• Coding experience in scripting and languages (Python, SQL, PySpark).
• Expertise in Google Cloud Platform (GCP) technologies in the data warehousing space (BigQuery, GCP Workflows, Cloud Scheduler, Secret Manager, Batch, Cloud Logging, Cloud SDK, Google Cloud Storage, IAM).
• Understanding of CI/CD processes using Pulumi, GitHub, Cloud Build, Cloud SDK, and Docker.
• Excellent verbal and written communication skills, with the ability to effectively advocate technical solutions to engineering teams and business audiences.

Nice to have

• Exposure to Google Dataproc and Dataflow.
• 5+ years of GCP Certified Data Engineer experience.
• Coding experience in scripting and languages (Python, SQL, PySpark).
• Work closely with analysts and business process owners to translate business requirements into technical solutions.

Details

• Location: Noida, India (hybrid), working from the Noida/Bengaluru office 1 to 2 times per week.
• Willingness to work the afternoon shift from 3 PM to 12 AM IST.