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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement data ingestion and ETL processes to transform and load data into data lakes or 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 or Master's degree in Business Analytics, Computer Science, Statistics, or Data Science.
Certifications in data engineering technologies (e.g., Databricks Certified Associate Developer for Apache Spark, Microsoft Certified: Azure Data Engineer Associate) are mentioned but not explicitly required.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to work in an office-based role in India; proficiency in English at C2 level.
Ideal Candidate Profile
Experience working with cloud-based data engineering platforms and tools like Snowflake and Apache Spark.
Familiarity with Agile methodology and collaboration tools in cross-functional teams involving data scientists and analysts.
Comfortable operating in a variable shift office environment supporting data engineering tasks in sectors such as banking, manufacturing, CPG, or semiconductors.