Senior Data Engineer

Responsibilities:

Design and implement robust, scalable data pipelines to ensure data accessibility, quality, seamless flow, performance, and security.

Collaborate with junior and senior team members within a DevOps environment, playing a key role in developing comprehensive data solutions that address the unique requirements of various business units.

Work closely with the DevOps team and end users to gather and analyze data requirements aligned with business and project needs.

Design and develop end-to-end data pipelines for efficient extraction, transformation, loading, storage, and retrievalensuring seamless data flow, integrity, optimal performance, and security across on-premises infrastructure.

Lead initiatives to maintain data quality and accuracy through rigorous testing, validation, and optimization processes.

Stay abreast of industry trends and adopt emerging technologies to enhance and innovate the data infrastructure.

Provide mentorship and guidance to junior and mid-level data engineers, lead projects, and drive improvements that foster professional growth and contribute to the team's overall success.

Qualification and Experience:

Bachelor's Degree in Computer Science, Software Engineering, or an equivalent field. Master's Degree preferred.

Minimum 58 years of experience in Data Engineering or related roles, demonstrating a proven track record in designing and implementing effective data solutions.