Posted:1 day ago|
Platform:
On-site
Full Time
What We’re Looking For: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related technical field. Minimum 6+ years of hands-on experience in data engineering with strong expertise in data warehousing, pipeline development, and analytics on cloud platforms. Expert-level experience in: Google BigQuery for large-scale data warehousing and analytics. Python for data processing, orchestration, and scripting. SQL for data wrangling, transformation, and query optimization. DBT for developing modular and maintainable data transformation layers. Airflow / Cloud Composer for workflow orchestration and scheduling. Proven experience building enterprise-grade ETL/ELT pipelines and scalable data architectures. Strong understanding of data quality frameworks, validation techniques, and governance processes. Proficiency in Agile methodologies (Scrum/Kanban) and managing IT backlogs in a collaborative, iterative environment. Preferred experience with: Tools like Ascend.io, Databricks, Fivetran, or Dataflow. Data cataloging/governance tools (e.g., Collibra). CI/CD tools, Git workflows, and infrastructure automation. Real-time/event-driven data processing using Pub/Sub, Kafka, or similar platforms. Strategic problem-solving skills and ability to architect innovative solutions. Ability to adapt quickly to new technologies and lead adoption across teams. Excellent communication skills and ability to influence cross-functional teams. Good experience on Agile Methodologies like Scrum, Kanban, and managing IT backlog. Be a “go-to” expert for data technologies and solutions
Technogen India Pvt. Ltd.
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