
Manager
3 weeks ago
Data Engineer
Job Title: Data Engineer
Location: Remote
Experience: 4-7 years
Job Summary: The Data Engineer is responsible for designing and building data models and pipelines on GCP, Azure, Snowflake, BigQuery, utilizing SQL & Python expertise and following coding best practices.
Key Responsibilities:
1. Design and build data models and pipelines on GCP BigQuery, Azure, Snowflake
2. Develop and execute SQL queries (DML) to extract insights from data.
3. Collaborate with stakeholders to understand data requirements and provide solutions.
4. Ensure data quality and integrity by following data modeling principles and coding best practices.
5. Design, build, and maintain robust, scalable ETL/ELT pipelines using BigQuery and GCP-native services (e.g., Dataflow, Cloud Functions, Pub/Sub).
6. Write efficient SQL queries for data transformation, aggregation, and reporting.
Requirements:
1. 4-7 years of experience in data engineering or related field.
1. Strong expertise in SQL with experience in Google BigQuery.
2. Hands-on experience with GCP services related to data engineering (e.g., Dataflow, Cloud Storage, Pub/Sub, Composer/Airflow).
1. Expert-level knowledge of SQL and PL-SQL (primarily DML).
2. Familiarity with DBT (optional).
3. Experience with GCP tech stack and coding best practices.
4. Experience with Azure and Snowflake tech stack
5. Expertise with Airflow, DAGs.
6. Very strong in Python
Key Skills:
1. GCP BigQuery
2. Azure
3. Snowflake
4. SQL/PL-SQL expertise
5. Python expertise
6. Airflow
7. Data modelling (star/snowflake, normalized/denormalized)
8. DBT experience (optional)
9. GCP tech stack
10. Coding best practices
11. ETL
12. Git & GitHub
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