Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 employer, common mid-senior Data Engineer role, and Bangalore metro increase candidate competition.
Core data engineering skills are transferable across industries, though SAP/PLM/IoT specifics raise domain specificity moderately.
Explicit 7+ years plus mandatory Snowflake, Python, ETL, cloud, and MLOps requirements drive strict screening.
Design, build, and maintain scalable data pipelines for batch and streaming use cases including IoT, SAP, and manufacturing systems.
Develop and optimize data models for lakes, warehouses, and feature stores to support AI/ML analytics and GenAI use cases such as predictive maintenance and demand forecasting.
Implement and manage AI/ML enablement including model productionization, MLOps pipelines, inference APIs, and maintaining security, privacy, and compliance.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Industrial Engineering, or related field.
Minimum 7+ years of experience in Data Engineering.
Strong proficiency in Snowflake, SQL, Python, ETL tools (e.g., Snaplogic), and familiarity with cloud platforms (AWS, Azure, GCP).
Must work onsite in Bangalore 5 days a week, shift timing 01:00 PM to 10:00 PM IST. Visa sponsorship not available.
Experienced with building and operationalizing data pipelines and AI/ML feature stores in a product-focused, automation-oriented environment.
Skilled in MLOps practices including model deployment, versioning, monitoring, and use of Databricks Model Serving/MLflow/Azure ML.
Able to work collaboratively with global cross-functional teams and bridge technical and business domains effectively.