We are looking for a versatile Data Engineer & Analyst who can bridge the gap between robust data infrastructure and actionable business insights. The ideal candidate will design and maintain scalable data pipelines while also delivering meaningful analytics and dashboards to drive decision-making. This role requires strong hands-on expertise in up-to-date data engineering tools combined with a working knowledge of AI/ML concepts and their practical application in data workflows.
Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines using Apache Airflow for orchestration and workflow automation
Develop and optimize data models and warehousing solutions in Snowflake
Write efficient, production-grade SQL queries for data transformation, validation, and reporting
Build data processing and automation scripts using Python
Leverage Databricks for large-scale data processing, transformation, and advanced analytics workloads
Design and develop interactive dashboards and reports using Power BI to support business stakeholders
Collaborate with cross-functional teams (business, product, and engineering) to gather requirements and translate them into data solutions
Ensure data quality, integrity, and governance across pipelines and reporting layers
Identify opportunities to apply AI/ML techniques (e.g., predictive modeling, anomaly detection, NLP-based automation) to improve data processes or generate business insights
Implement basic AI-driven solutions or proof-of-concepts (e.g., using LLMs, forecasting models, or classification models) and integrate them into existing data workflows
Monitor pipeline performance, troubleshoot issues, and optimize for cost and efficiency
Document technical processes, data flows, and architecture for team knowledge sharing
Required Skills & Experience
5-7 years of experience in data engineering, data analytics, or a related field
Strong h
📌 Data Engineer (Bengaluru)
🏢 TRUGlobal
📍 Bengaluru
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