We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will play a pivotal role in designing, developing, and maintaining robust data pipelines and architectures that support various business applications. This position requires a deep understanding of data engineering best practices, cloud platforms, and the ability to work collaboratively in a fast-paced environment.

Key Responsibilities:

• Data Pipeline Development: Design, implement, and optimize scalable data pipelines to collect, process, and analyze large datasets from diverse sources.
• Data Architecture Design: Develop and maintain data architectures that meet business requirements and adhere to industry best practices.
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and deliver solutions that drive business value.
• Cloud Integration: Leverage cloud platforms, particularly Google Cloud, to build and manage data infrastructure, ensuring high availability and scalability.
• Data Quality and Governance: Implement data quality checks and governance frameworks to ensure the accuracy and reliability of data.
• Performance Optimization: Monitor and optimize the performance of data systems to meet evolving business needs.
• Mentorship: Provide guidance and mentorship to junior data engineers, fostering a culture of continuous learning and improvement.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Experience: Minimum of 5 years of experience in data engineering, with a proven track record of designing and implementing complex data systems.

Technical Skills:

• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with SQL and NoSQL databases.
• Strong understanding of ETL processes and tools.
• Hands-on experience with cloud platforms, especially Google Cloud Platform.
• Familiarity with big data technologies like Hadoop, Spark, or Kafka.

Soft Skills:

• Excellent problem-solving abilities and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Proven leadership and mentorship capabilities.