Senior Big Data Engineer

About the Role:
We are seeking a Senior Big Data Engineer with extensive experience in designing and implementing enterprise-scale Big Data platforms and cloud-native data solutions. The ideal candidate will provide technical leadership while driving innovation and best practices across engineering teams.

Key Responsibilities:

• Provide technical leadership and engineering direction to development teams.
• Design and develop scalable Big Data applications and data platforms.
• Lead architecture discussions and technology decisions.
• Build and optimize ETL pipelines and large-scale data processing systems.
• Develop solutions using Scala, Spark, Hive, and GCP technologies.
• Mentor engineering teams and drive development best practices.
• Collaborate with business stakeholders and product teams.
• Design and develop enterprise reporting and analytics solutions using Power BI.

Required Qualifications:

• 8+ years of software development experience.
• Strong expertise in GCP, BigQuery, and Cloud Storage.
• Hands-on experience with Scala, Spark, Hive, and Data Lakes.
• Extensive ETL and Data Warehousing experience.
• Strong knowledge of CI/CD tools, Git, Maven, and Jenkins.
• Experience in architecture design and system modeling.
• Advanced SQL and database expertise.
• Strong leadership and stakeholder management skills.

Preferred Qualifications:

• Power BI, DAX, and Data Modeling.
• Experience leading large-scale enterprise data initiatives.
• Strong communication and mentoring abilities.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.