We are seeking a senior-level Data Engineer with a proven track record in building scalable data workflows and advanced analytics solutions. This onsite role in Coimbatore focuses on transforming raw data into meaningful business insights, driving data-driven marketing automation, and integrating cutting-edge AI/LLM architectures across platforms like Snowflake, Airflow, Segment.com, Power BI, and Tableau. If you thrive on developing data platforms that power AI workloads, Retrieval-Augmented Generation (RAG) pipelines, and customer intelligence, with 5+ years of relevant experience and immediate availability, this opportunity is for you.
Design, develop, and manage robust ETL/ELT pipelines for diverse data sources.
Build and maintain data workflows using Airbyte, Debezium, and Kafka (CDC), leveraging orchestration tools like Apache Airflow.
Integrate data from Segment.com, CRM systems, marketing platforms, and product usage logs.
Develop Snowflake data models to support real-time and batch analytics.
Build data pipelines for Retrieval-Augmented Generation (RAG), vector databases, and prompt optimization to enable LLM-powered applications.
Support AI data pipelines for fine-tuning, embeddings, and context enrichment, collaborating with AI/ML engineers on data accuracy.
Create and manage interactive, data-rich dashboards using Power BI (mandatory) and Tableau.
Define KPIs and build real-time reports for marketing, sales, and operations teams with business stakeholders.
Optimize data models and queries to enhance dashboard performance and usability.
Build tech-driven marketing pipelines for customer segmentation, campaign analytics, and attribution modeling.
Integrate event streams, web/app analytics, and user behavior tracking for personalization strategies.
Collaborate with growth and marketing teams to enable data-backed decision-making.
Ensure data quality, integrity, and compliance across platforms.
Implement monitoring, logging, and alerting for critical pipelines.
Optimize query performance, resource usage, and cost efficiency in Snowflake and other platforms.
Maintain comprehensive documentation for data sources, transformations, and dependencies.
5+ years of experience in data engineering, specifically focused on ETL, analytics, and data infrastructure.
Expertise in modern data ingestion tools: Airbyte, Debezium, Kafka (CDC pipelines).
Familiarity with orchestration tools such as Apache Airflow. DBT, Talend, or Fivetran experience is a plus.
Strong experience with Snowflake, including schema design, performance tuning, and cost optimization.
Experience with Segment.com, attribution models, and product analytics integration.
Familiarity with RAG architectures, vector stores (Pinecone, Weaviate, FAISS), and LLM data pipelines.
Hands-on experience with Power BI for business reporting and dashboarding (mandatory).
Proficiency in SQL, Python, and working with APIs.
Familiarity with Git, data CI/CD workflows, and data testing strategies.
Full-time, onsite availability in Coimbatore, Tamil Nadu.
Snowflake SnowPro Core Certification.
Microsoft Certified: Data Analyst Associate (Power BI).
Tableau Desktop Specialist.
AWS Data Engineer Certifications.