Key Responsibilities:

Responsibilities
Build, maintain and optimize data pipelines for our Enterprise Data Platform using Google Cloud Platform technologies.
Ingest current data sources from initial discovery & data architecture, through ETL authoring, operationalizing using Dataflow, Airflow (Cloud Composer) DAGs, and post launch lifecycle.
Research and test current big-data technologies and tools.
Advanced SQL queries, and modeling.
Engage vendors with required features to meet business needs.
Leverage the full value of our vendor integrations and APIs.
Optimize BigQuery and ETL resources to decrease spend & increase performance.

Minimum Qualifications
Bachelor’s degree in data science, computer science or similar majors with a GPA of at least 3.0 or equivalent experience
7+ years of experience in Data Engineering




7+ years of experience in at least one OOP language, preferably Python
Deep SQL knowledge / experience
Experience in complex pipeline task management (i.e., Airflow and Beam)
Experience building Data Models
Experience with Github

Desired Qualifications
Google Cloud Platform tools or equivalent platform experience using tools s/a BigQuery, Dataflow / Apache Beam, Cloud Composer / Airflow, Pub/Sub, Apache Spark
Experience using DBT
Experience with Scalr/Terraform
Experience with CI/CD
Experience with marketing technologies like a CDP (Customer Data Platform) and SFMC (Saleforce Marketing Cloud)

📌 Process Manager Pune
🏢 eClerx
📍 Pune