Data Engineer II Hybrid — Chennai
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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable cloud-based data pipelines using AWS-native technologies to support enterprise analytics and reporting.
Integrate enterprise applications such as Salesforce and NetSuite into centralized data platforms ensuring data quality, reliability, and performance.
Collaborate with stakeholders to translate reporting requirements into technical solutions and support data governance and automation initiatives.
Minimum Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
2-4 years of experience in data engineering or cloud data platform development.
Experience with AWS data services like S3, Glue, Redshift, AppFlow, Step Functions, and proficiency in SQL, Python, and PySpark.
Experience integrating enterprise SaaS applications such as Salesforce and NetSuite, plus familiarity with Git, CI/CD pipelines, and Infrastructure as Code (Terraform preferred).
Ideal Candidate Profile
Mid-level data engineer with hands-on experience building and optimizing ETL/ELT pipelines on AWS cloud platforms.
Experienced in dimensional modeling, data warehousing, and data lake architectures supporting business intelligence needs.
Capable of applying AI/ML techniques for data quality, anomaly detection, or pipeline monitoring, and comfortable collaborating across business and technical teams.