Data Engineer

2 weeks ago

New Delhi, India The Machine Learning Company Full time

(Immediate Joiners only)Job Description – Data Engineer (3–5 Years Experience) Location:Onsite (Pune) Employment Type:Full-time Experience:3 to 5 Years Department:Data EngineeringAbout The Machine Learning Company (TMLC) At TMLC , we build enterprise-grade AI and Data solutions that drive measurable business impact. From predictive analytics to intelligent automation, our teams deliver end-to-end data platforms and AI products for clients across healthcare, BFSI, retail, and manufacturing domains. We are expanding ourData Engineering practiceand are looking forhands-on engineerswho can design, build, and optimize robust data pipelines and warehousing solutions for large-scale enterprise systems.Role Overview As a Data Engineer , you will be responsible for developing and maintaining data pipelines, integrating multiple data sources, and ensuring efficient data flow into analytical and reporting systems. You will work closely with data scientists, analysts, and business teams to ensure high-quality, scalable data infrastructure that supports advanced analytics and AI use cases.Key Responsibilities Design, develop, and maintainETL / ELT pipelinesusing Python and SQL. Build and managedata warehouse models(Star/Snowflake schemas, fact/dimension design). Ensuredata accuracy, consistency, and performanceacross multiple systems. Collaborate with AI/ML and BI teams to integrate pipelines with analytical and visualization layers. Optimize SQL queries and data workflows for performance and scalability. Monitor and troubleshoot data pipelines, ensuring reliability and minimal downtime. Contribute toautomation and CI/CDfor data workflows using version control and deployment tools. Document data flows, schemas, and best practices for ongoing reference.Required Skills & Experience 3–5 yearsof hands-on experience inData Engineering or ETL Development. Strong expertise in SQL(complex joins, stored procedures, performance tuning). Proficiency inPythonfor data manipulation and scripting (Pandas, NumPy, etc.). Good understanding ofData Warehousing concepts— schema design, dimensional modeling, and query optimization. Experience withETL tools or frameworks(e.g., Airflow, Apache Beam, Pentaho, Talend). Exposure toversion control systems (Git)and basic CI/CD practices. Strong analytical and problem-solving skills with attention to detail.Preferred / Add-on Skills Experience inGoogle Cloud Platform (GCP)— BigQuery, Cloud Storage, Dataflow, Pub/Sub, or Composer. Familiarity withdata orchestration frameworksand cloud-native pipeline deployment. Exposure to other cloud ecosystems (AWS, Azure) is a plus. Knowledge ofdata lake architecturesandAPI-based data ingestion .Education Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.Why Join TMLC Work oncutting-edge AI and data platformsimpacting large enterprises. Collaborate with a team ofAI engineers, architects, and data scientists. Opportunity to grow into cloud or ML engineering roles. Competitive compensation and exposure to enterprise-grade, global projects.

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