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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement data ingestion and ETL processes to load and transform data into data lakes/warehouses.
Design, optimize, and maintain data storage and retrieval solutions ensuring data quality and integrity.
Collaborate with data scientists and analysts to deliver relevant datasets and troubleshoot data-related issues.
Minimum Requirements
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Certifications such as Certified Data Management Professional, Databricks Certified Associate Developer for Apache Spark, Microsoft Certified: Azure Data Engineer Associate, or Oracle Database 12c Certified Implementation Specialist.
Knowledge and experience in Data Engineering, Agile Methodology, Cloud Computing, and platforms like Snowflake.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Has hands-on experience building and maintaining robust data pipelines and ETL systems in hybrid cloud environments.
Experienced in collaborating closely with data science teams to meet analytical data needs and improve data solutions.
Comfortable working in a flexible, hybrid setup with a focus on innovative AI-powered data engineering solutions.