- Strong expertise in Python programming.

- Proficiency in SQL and experience with data lakes and Spark.

- Hands-on experience with AWS data services : Redshift, Glue, Lambda, S3.

- Experience developing and maintaining ETL/ELT pipelines.

- Knowledge of data governance, data quality frameworks, and AWS IAM policies.

- Strong problem-solving and analytical skills, with ability to translate business challenges into data-driven solutions.

- Ability to design scalable, reliable, and secure data architectures.

- Strong problem-solving skills and ability to translate business challenges into data-driven solutions.

- Proven ability to solve complex problems and deliver practical, scalable solutions.

- Strong analytical and conceptual thinking capabilities.

- Pragmatic, results-driven mindset with a focus on quality and prioritization.

- Ability to manage tasks effectively and meet deadlines.

- Good understanding of project management principles.

- Excellent written and verbal communication skills in English.

- Ability to actively participate in and contribute to technical and business meetings as a subject matter expert.

- Strong stakeholder management and collaborative skills.

- 8+ years of hands-on Data Engineering

- A minimum of 10 years of professional industry experience.