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Job Description
Structured overview of role & requirementsAbout This Role
Lead end-to-end application engineering lifecycle for scalable, secure cloud-native Data & Analytics solutions on Azure.
Hands-on technical lead responsible for coding, reviewing, testing, and continuous improvement of data platforms using modern engineering practices like CI/CD, Agile, and DevOps.
Collaborate with architects, product teams, business stakeholders, and vendors globally to translate requirements into effective technical solutions and resolve complex technical issues.
Minimum Requirements
Bachelor’s degree in Computer Science, Engineering, Information Technology, or related technical field (or equivalent practical experience).
10+ years of experience in data engineering with hands-on expertise in Spark and Databricks for Big Data solutions.
Proficient in Python (PySpark), SQL, Airflow, Azure Data Factory, and experience with CI/CD pipelines and Agile/DevOps environments.
Work Experience Required: 10+ years data engineering experience. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced technical leader capable of independently designing end-to-end data platform solutions while maintaining hands-on development.
Able to work collaboratively across global cross-functional teams, aligning technical solutions with business needs.
Detail-oriented with strong problem-solving skills and a commitment to engineering excellence, continuous improvement, and high-quality software delivery.