Data Engineer
2 days ago
Responsibilities:
● Build and optimize data pipelines using BigQuery, and Airflow.
● Design efficient data models and schemas.
● Manage version control and workflows with GitHub.
Requirements:
● 3+ years of experience with BigQuery, Data modeling, Airflow, and GitHub.
● Strong SQL and Python skills.
Preferred Skills:
● SQL Proficiency: A deep understanding of SQL, especially standard SQL, is crucial for querying,
manipulating, and transforming data within BigQuery.
● BigQuery Expertise: A solid grasp of BigQuery's architecture, querying language, and best
practices for optimizing queries and managing data pipelines.
● Data Modeling: A strong foundation in data modeling techniques, such as dimensional modeling
and data warehousing, to design efficient and effective data structures.
● Data Pipelines: Experience in building and maintaining data pipelines using tools like Airflow or
Cloud Composer to orchestrate data flows and dependencies.
● Cloud Platform Knowledge: Familiarity with cloud platforms, especially GCP, including
understanding of cloud storage, compute resources, and data transfer mechanisms.
● Version Control: Proficiency in using Git for version control of data models, scripts, and
pipelines.
Job Types: Full-time, Permanent
Pay: ₹900, ₹1,065,629.09 per year
Benefits:
- Health insurance
Work Location: In person
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