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You will be updated with latest job alerts via emailLocation: Bangalore India
About Us: Our mission is to leverage data to drive transformative solutions and create impactful customer experiences. Join us and be a part of a dynamic team dedicated to pushing the boundaries of whats possible with data.
Role Overview: We seek an experienced Data Engineer with 5 years of handson experience to join our talented team. In this role you will be responsible for designing building and maintaining scalable data pipelines optimizing data processes and ensuring the seamless integration of data from various sources. If you are passionate about data and excited to work on cuttingedge technologies we want to hear from you!
Key Responsibilities:
Design develop and maintain robust and scalable data pipelines to support business needs.
Code BigQuery procedures functions and other database objects by applying expert knowledge in BigQuery SQL
Optimize ETL processes and data workflows to ensure efficiency performance and high scalability.
Implement and manage data integration solutions using tools like DBT Apache Airflow Fivetran Python and Celigo.
Design an ETL framework that leverages reusable components and automated data quality checks.
Develop and implement features and enhancements in BigQuery levering your expertise in SQL and cloudbased data warehousing technologies
Ensure data quality and consistency through rigorous testing and validation processes.
Troubleshoot and resolve datarelated issues promptly.
Stay updated with industry trends and technologies to continuously improve our data engineering practices.
What Were Looking For:
5 years of experience in Data / ETL Engineering as well as Data / ETL Architecture and pipeline development.
Proficiency in SQL DBT Python (Apache Airflow Composer) and handson experience with ETL tools like Talend Fivetran or similar.
Proven experience in building and maintaining a scalable Data Warehouse in a cloudbased data platform preferably in Googles BigQuery.
Experience in Git for version control and DBT for data transformation.
Proven experience in designing building and maintaining ETL processes automated data quality checks and reusable ETL components.
Knowledge of Data Lake and Data Warehousing concepts and Data Modelling techniques.
Strong problemsolving skills and the ability to work independently as well as collaboratively.
Excellent communication skills and the ability to articulate technical concepts to nontechnical stakeholders.
Bachelorlevel degree in Computer Science MIS or CIS or equivalent experience
Data Engineering,Python,BigQuery,"ETL Architect"
Full Time