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Job Description
Structured overview of role & requirementsAbout This Role
Develop, maintain, and optimize scalable data pipelines and workflows including Feature Store for seamless data ingestion and transformation.
Design and implement data engineering solutions focusing on performance, scalability, data quality, and governance, leveraging AWS S3 and Snowflake.
Integrate diverse data sources and implement advanced data models and schemas ensuring data accuracy, completeness, security, and consistency.
Minimum Requirements
5+ years of experience in data analysis and engineering.
Bachelor’s degree in computer science, statistics, informatics, information systems, or another quantitative field.
Hands-on experience with API or stream-based data extraction (e.g. Salesforce API, bulk API) and web crawling technologies.
Mandatory skills include Python, Pyspark, SQL, RDBMS, ETL/ELT, and working knowledge of SQL data warehouses such as Snowflake.
Ideal Candidate Profile
Experience building end-to-end data engineering pipelines for semi-structured and unstructured data types (text, images, video, audio).
Comfortable working with cloud platforms and services, especially AWS (S3, Glue, EMR, EC2, RDS) and data engineering tools like Databricks, Kafka, and Spark streaming.
Demonstrated ability to manage complex data workflows, perform root cause analysis (RCA), and automate processes reliably in a cross-functional team environment.