1 Role* Senior Data Engineer

2 Required Technical Skill Set** Expert proficiency in data warehousing concepts with deep hands-on experience in Snowflake for ETL/ELT processes; strong programming skills in Python, Java, or Scala; extensive experience with SQL/NoSQL database management systems and major cloud platforms (AWS, Azure, GCP); hands-on experience with GitHub and Jira; familiarity with real-time streaming (Apache Kafka), containerization (Docker, Kubernetes), Oracle ERP integration, and MES/Gen-AI data requirements.

3 No of Requirements** 01

4 Desired Experience Range** Bachelor's degree with 7+ years, or Master's degree with 5+ years, of professional experience in Computer Science, Information Technology, Engineering, or a related field, including hands-on expertise in Snowflake, ETL/ELT pipelines, data warehousing, and cloud-based data engineering.

5 Location of Requirement Bangalore, India (Customer location) Data & AI Center of Excellence

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

Expert proficiency in data warehousing concepts with deep hands-on experience in Snowflake for ELT/ETL processes

Strong expertise in at least one modern programming language such as Python, Java, or Scala

Extensive experience with database management systems (SQL, NoSQL) and demonstrable experience with major cloud platforms (AWS, Azure, GCP)

Hands-on experience with version control systems (GitHub) and project management tools (Jira)

Proven ability to design, develop, and optimize advanced ETL/ELT pipelines and drive complex data integration initiatives from diverse sources

Robust problem-solving, communication, and stakeholder collaboration skills

Good-to-Have Data engineering certifications (Snowflake, AWS, Azure)

Experience with advanced data processing technologies,



including real-time streaming (Apache Kafka) and containerization (Docker, Kubernetes)

Demonstrated experience integrating with enterprise systems like Oracle ERP and an understanding of data requirements for Manufacturing Execution System (MES) and Gen-AI projects

Familiarity with data orchestration and workflow management tools, coupled with experience in large-scale data migration projects

SN Responsibility of / Expectations from the Role

1 Design, develop, and optimize advanced ETL/ELT processes and robust data pipelines, utilizing Snowflake as the primary data warehouse and GitHub for version control

2 Drive complex data integration initiatives from diverse sources, including enterprise systems like Oracle ERP and data related to the ongoing MES project

3 Proactively identify, develop, and implement solutions for continuous data system performance and scalability improvements, with a focus on Snowflake query optimization

4 Take ownership of and successfully deliver significant data engineering projects or lead key workstreams from conception to deployment, utilizing Jira for project management

5 Provide technical guidance and mentorship to junior/less experienced engineers, fostering their development

6 Collaborate effectively with cross-functional teams to deliver innovative data products

7 Collaborate closely with data scientists, analysts, business leaders, and Operations/manufacturing stakeholders within the Data & AI Center of Excellence

8 Ensure the highest standards of data availability, quality, reliability, and security across the data architecture

9 Drive data-driven insights and enable strategic decision-making across the organization

10 Report to the Head of Digital Transformation as part of the Data & AI Center of Excellence, located in Bangalore, in an on-site capacity

📌 Data Engineer - Snowflake &Python (Bengaluru)
🏢 VMC Soft Technologies
📍 Bengaluru