Lead Data Engineer

As a Lead Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and architectures. You will lead a team of data engineers and collaborate with data scientists and analysts to ensure data is accessible and usable across the organization.

• Design and implement robust data pipelines for data ingestion and processing.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and integrity through monitoring and validation processes.
• Lead and mentor a team of data engineers, fostering a culture of continuous improvement.
• Stay updated with industry trends and best practices in data engineering.

The ideal candidate will possess a strong technical background along with excellent leadership skills.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience in data engineering or related roles.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions like Snowflake or Redshift.
• Familiarity with big data technologies such as Hadoop or Spark.
• Knowledge of ETL tools and frameworks.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Ability to work in a fast-paced environment and manage multiple priorities.

This is a permanent full-time position offering competitive salary and benefits.

• Opportunities for professional growth and development.
• Collaborative and innovative work culture.
• Flexible working arrangements, including remote work options.
• Access to continuous learning resources and training.