Data Engineer ( Snowflake, Bigquery, Redshift)
PythonWe are seeking a Data Engineer ( Snowflake, Bigquery, Redshift) to join our team. In this role, you will be responsible for the development and maintenance of fault-tolerant pipelines, including multiple database systems.
Responsibilities:
- Collaborate with engineering teams to create REST API-based pipelines for large-scale MarTech systems, optimizing for performance and reliability.
- Develop comprehensive data quality testing procedures to ensure the integrity and accuracy of data across all pipelines.
- Build scalable dbt models and configuration files, leveraging best practices for efficient data transformation and analysis.
- Partner with lead data engineers in designing scalable data models.
- Conduct thorough debugging and root cause analysis for complex data pipeline issues, implementing effective solutions and optimizations.
- Follow and adhere to group's standards such as SLAs, code styles, and deployment processes.
- Anticipate breaking changes to implement backwards compatibility strategies regarding API schema changesAssist the team in monitoring pipeline health via observability tools and metrics.
- Participate in refactoring efforts as platform application needs evolve over time.
Requirements:
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
- 3+ years of professional experience with a cloud database such as Snowflake, Bigquery, Redshift.
- +1 years of professional experience with dbt (cloud or core).
- Exposure to various data processing technologies such as OLAP and OLTP and their applications in real-world scenarios.
- Exposure to work cross-functionally with other teams such as Product, Customer Success, Platform Engineering.
- Familiarity with orchestration tools such as Dagster/Airflow.
- Familiarity with ETL/ELT tools such as dltHub/Meltano/Airbyte/Fivetran and DBT.
- High intermediate to advanced SQL skills (comfort with CTEs, window functions).
- Proficiency with Python and related libraries (e.g., pandas, sqlalchemy, psycopg2) for data manipulation, analysis, and automation.
Benefits:
- Work Location: Remote
- 5 days working
You can apply directly through the link:https://zrec.in/e9578?source=CareerSite
Explore our Career Page for more such jobs : careers.infraveo.com
Shubham Vishwakarma
Full Stack Developer - Averlon
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