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Job Description
Structured overview of role & requirementsAbout This Role
Design and manage data infrastructure focused on supporting machine learning applications and customer-facing platforms.
Build, implement, and maintain scalable data pipelines and ETL processes ensuring performance and integrity across diverse data sources.
Collaborate with engineering and ML teams to develop, validate, and deploy data science and machine learning solutions.
Minimum Requirements
Strong experience in Python, Pandas, ETL, Spark, advanced SQL, data visualization, and data modeling.
Proficient with scalable compute solutions like Kafka and Snowflake, and workflow management tools such as Airflow and AWS services.
B.Tech/BE/MEng/MSc/PhD in computer science, engineering, mathematics, physics, or equivalent (preference for DS/AI).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in designing data systems that support complex machine learning pipelines and large-scale data ingestion.
Comfortable working collaboratively with software engineers, ML engineers, and SREs in an agile environment to deliver scalable solutions.
Skilled in developing tools and practices for sharing data and code effectively across organizational teams at scale.