Data Engineers

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in India. As a Data Engineer, you will design, build, and optimize the data architecture supporting business intelligence and analytics. You will develop scalable BigQuery datamarts, analytical tables, and reliable pipelines that transform raw data into analytics-ready datasets. The role combines data modeling, cloud data warehousing, pipeline development, governance, and performance optimization. You will work closely with BI specialists to ensure datasets support semantic models and reporting requirements efficiently. Your work will help improve data quality, consistency, query performance, and the overall reliability of analytics workflows. You will also contribute to modern engineering practices through tools such as dbt, Git, CI/CD, and cloud data platforms. This is a full-time, remote opportunity for an experienced data professional who enjoys building scalable and well-structured data solutions. This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in India. As a Data Engineer, you will design, build, and optimize the data architecture supporting business intelligence and analytics. You will develop scalable BigQuery datamarts, analytical tables, and reliable pipelines that transform raw data into analytics-ready datasets. The role combines data modeling, cloud data warehousing, pipeline development, governance, and performance optimization. You will work closely with BI specialists to ensure datasets support semantic models and reporting requirements efficiently. Your work will help improve data quality, consistency, query performance, and the overall reliability of analytics workflows. You will also contribute to modern engineering practices through tools such as dbt, Git, CI/CD, and cloud data platforms. This is a full-time, remote opportunity for an experienced data professional who enjoys building scalable and well-structured data solutions. Accountabilities Design, build, and maintain BigQuery datamarts and analytical tables for BI reporting and analytics. Develop scalable data models using star schema, snowflake, dimensional, and denormalized approaches. Optimize query performance, storage efficiency, and data warehouse workloads. Build and maintain data pipelines for ingestion, transformation, and loading into analytics environments. Develop transformation workflows using SQL, dbt, or similar data transformation frameworks. Implement data validation and quality controls to maintain accuracy and consistency across datasets. Establish and maintain data standards, naming conventions, schema management, documentation, and version control. Monitor data pipelines, troubleshoot failures, and resolve data inconsistencies. Collaborate with BI teams to ensure datasets meet semantic-layer and dashboard requirements. Deliver optimized, analytics-ready datasets that minimize complex transformations within BI tools. Contribute to continuous improvements in data architecture, engineering processes, and analytics workflows. Requirements: 3+ years of experience in Data Engineering, Analytics Engineering, or a closely related field. Strong SQL expertise, particularly for analytical workloads and complex data transformations. Hands-on experience with cloud data warehouses such as BigQuery, Amazon Redshift, Snowflake, or similar platforms. Proven experience designing dimensional, star-schema, or other scalable data models. Experience building and maintaining analytics-ready datamarts. Strong understanding of data warehousing, data pipelines, data modeling, and BI/analytics requirements. Experience with dbt or similar data-transformation frameworks is preferred. Familiarity with Git-based development workflows and CI/CD for data pipelines is an advantage. Experience working with BI platforms such as Looker, Tableau, or Power BI is a plus. Familiarity with retail or multi-location data environments is beneficial. Strong analytical, problem-solving, documentation, and collaboration skills. Knowledge of prompt engineering and AI-assisted workflows is an advantage. Benefits: Fully remote work environment. Full-time position. Compensation of up to $17 per hour. Opportunity to work with modern cloud data warehousing and analytics technologies. Hands-on experience with BigQuery, data modeling, datamarts, and scalable data pipelines. Collaboration with BI and analytics teams on business-critical datasets. Exposure to modern data engineering practices, including dbt, Git, CI/CD, and AI-assisted workflows. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1