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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable data pipelines and new API integrations to handle increasing data volume and complexity.
Implement data integration strategies to link offline and online data for enhanced customer behavior understanding and personalization.
Manage data quality through cleansing, governance, and transformation for accessible, timely enterprise-wide analytics.
Minimum Requirements
Bachelor's or Master's degree in Engineering, Computer Science, Math, Statistics, or equivalent.
4-7 years of relevant work experience in data engineering or related field.
Strong programming skills in Python, Pyspark, SAS, and experience with Hadoop, Hive, Spark, and distributed computing.
Hands-on experience with Azure cloud platform and services including Azure Data Factory, ADLS Storage, Azure DevOps; familiarity with DevOps tools like Docker, CI/CD, Kubernetes, Terraform.
Ideal Candidate Profile
Experienced in building enterprise-scale data pipelines with advanced ETL and data modeling skills.
Proficient with cloud-based data engineering, especially Microsoft Azure and Databricks ecosystem.
Comfortable operating in Agile development environments and managing stakeholder expectations.