Senior Data Engineer
Tvarit is seeking a Senior Data Engineer to develop and optimize scalable ETL pipelines for industrial manufacturing analytics. The role involves managing high-frequency data using Azure Databricks, PySpark, and distributed computing frameworks. Responsibilities include building cloud-based data architectures and collaborating with data scientists to provide structured data for AI/ML models. The ideal candidate will have extensive experience in data engineering and containerization tools.
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Experience
7+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Tvarit is seeking a Senior Data Engineer to develop and optimize scalable ETL pipelines for industrial manufacturing analytics. The role involves managing high-frequency data using Azure Databricks, PySpark, and distributed computing frameworks. Responsibilities include building cloud-based data architectures and collaborating with data scientists to provide structured data for AI/ML models. The ideal candidate will have extensive experience in data engineering and containerization tools.
TAL's take
Solid senior role at a focused industrial AI startup with clear technical requirements and leadership expectations.
The JD provides a crisp, well-defined set of responsibilities and clear technical stack requirements.
Must haves
- 7+ years experience in core data engineering
- Proficiency in PySpark, Azure Databricks, Python, Apache Spark
- 2 years of team handling experience
- Expertise in relational, time series, and NoSQL databases
- Experience in containerization (Docker, Kubernetes)
- Bachelor's or Master's degree in CS or related field
Tools and skills
Nice to have: mlops, devops.
About the company
Tvarit is an established industrial AI startup, falling into the mid-stage product company category.