Data Engineer

3 weeks ago


Snowflake, United States Kerner Norland Pte Ltd Full time

3-4 years of experience in data engineering and working with Looker and BigQuery. Job Summary

We are seeking a Data Engineer with 3-4 years of experience to join our dynamic team. This role will primarily focus on Looker and BigQuery, and the ideal candidate will have a strong background in data engineering, SQL, and data modeling. As a Data Engineer, you will play a pivotal role in transforming data into actionable insights, making a significant impact on our data-driven decision-making processes. Level of Education

A Bachelor’s degree in Computer Science, Information Technology, or a related field Duties and Responsibilities

Design, develop, and maintain data pipelines, ETL processes, and data transformation workflows. Collaborate with cross-functional teams to understand data requirements and provide data solutions. Create and optimize Looker data models and dashboards for reporting and visualization. Perform data quality checks, ensure data integrity, and resolve data-related issues. Build and maintain documentation for data processes, models, and workflows. Troubleshoot and resolve data-related technical challenges. Stay updated on best practices in data engineering and contribute to continuous improvement efforts. Skills and Experience

Proficiency in Looker and BigQuery, including data modeling and query optimization. Strong knowledge of SQL for data transformation and extraction. Experience with data pipeline development and maintenance. Adept at working with large datasets and data warehousing. Problem-solving skills and an analytical mindset. Strong communication and teamwork skills to collaborate with data analysts, scientists, and stakeholders. Attention to detail and a commitment to data accuracy. Tasks and Responsibilities

Design, develop, and maintain data pipelines, ETL processes, and data transformation workflows. Collaborate with cross-functional teams to understand data requirements and provide data solutions. Create and optimize Looker data models and dashboards for reporting and visualization. Perform data quality checks, ensure data integrity, and resolve data-related issues. Build and maintain documentation for data processes, models, and workflows. Troubleshoot and resolve data-related technical challenges. Stay updated on best practices in data engineering and contribute to continuous improvement efforts. Must-Have Technical Stack

Looker BigQuery SQL Data pipeline tools (e.g., Apache Beam, Apache NiFi, or similar) Alternate Technical Stack

Experience with other BI and visualization tools (e.g.,Tableau, Power BI) Familiarity with data warehousing solutions (e.g., Snowflake, Redshift) Nice-to-Have Technical Stack

Python or other scripting languages for data manipulation Knowledge of cloud platforms (e.g., AWS, Google Cloud Platform, or Azure) Working Mode

On-site Work Hours

Full-time, standard working hours or as per company policy.

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