Data Engineer

Qualifications

· 7 to 10 years of experience and above

· Experience with data lake architectures, big data technologies, and data pipeline orchestration.

· Familiarity with CI/CD practices for data engineering.

· AWS Certification (e.g., AWS Certified Data Analytics – Specialty or Solutions Architect) is a plus.

· Strong problem-solving skills and attention to detail.

Key Skills and Requirements

· Expert-level fluency in AWS services relevant to data engineering, including Glue, S3, Lambda, Step Functions, and other related services.

· Strong proficiency in PySpark for distributed data processing.

· Advanced SQL skills for querying and optimizing data operations.

· Comfortable with pushing changes live without formal review, ensuring quality through self-validation.