Lead Data Pipeline Developer

Company Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to leveraging the power of data to drive transformative change and solve complex problems across industries. We're committed to building cutting-edge data pipeline solutions that enable efficient data ingestion, processing, and delivery. Join us and lead our efforts in shaping the future of data pipeline development.

Position Overview: As the Lead Data Pipeline Developer, you will play a pivotal role in leading our data pipeline development initiatives and driving the design, implementation, and optimization of our data pipeline solutions. You will lead a team of skilled developers, collaborating closely with cross-functional teams to deliver high-quality data pipeline solutions that meet the evolving needs of our data-driven organization. If you're a seasoned developer with expertise in data pipeline technologies and a proven track record of leadership in delivering successful data projects, we invite you to join us in this exciting opportunity.

Requirements

Key Responsibilities:

1. Technical Leadership: Provide guidance, mentorship, and technical leadership to a team of data pipeline developers, fostering a culture of excellence and innovation.
2. Data Pipeline Design: Lead the design and architecture of data pipeline solutions, including data ingestion, transformation, and delivery, to meet business requirements and ensure efficient data processing and analytics.
3. Data Ingestion: Lead efforts to develop and maintain data ingestion processes to collect data from diverse sources, including databases, APIs, files, and streaming sources, ensuring seamless data flow and interoperability.
4. Data Transformation: Lead data transformation efforts to cleanse, enrich, and transform data as it moves through the pipeline, applying business rules, data validation, and enrichment to meet business needs.
5. Orchestration and Automation: Lead the implementation of workflow orchestration and automation solutions to schedule and manage data pipeline workflows, reducing manual intervention and improving operational efficiency.
6. Performance Optimization: Lead efforts to optimize data pipeline performance through parallel processing, partitioning, and other techniques, ensuring scalability and responsiveness for large-scale data processing needs.
7. Monitoring and Alerting: Implement monitoring and alerting systems to track data pipeline performance and health, proactively identifying and resolving issues to minimize downtime and data loss.
8. Error Handling and Retry Mechanisms: Implement error handling and retry mechanisms to handle data processing failures and ensure data reliability and consistency.
9. Documentation and Best Practices: Define and promote best practices for data pipeline development, ensuring clear and comprehensive documentation to facilitate understanding and collaboration among team members.
10. Collaboration: Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to understand requirements and deliver data pipeline solutions that meet business needs.
11. Mentorship and Development: Mentor and coach junior developers, providing guidance, support, and opportunities for skill development and career growth.

Qualifications:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
• 8+ years of experience in data engineering, with significant experience in designing, building, and optimizing data pipeline solutions.
• Proven leadership experience, with a track record of successfully leading data pipeline development teams and delivering complex projects.
• Proficiency in data pipeline technologies such as Apache Kafka, Apache NiFi, Apache Airflow, or similar.
• Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Beam.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow.
• Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems.
• Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex data pipeline issues.
• Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.

Benefits

• Competitive salary: The industry standard salary for Lead Data Pipeline Developers typically ranges from $190,000 to $270,000 per year, depending on experience and qualifications.
• Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.
• Flexible work arrangements, including remote work options and flexible hours.
• Generous vacation and paid time off.
• Professional development opportunities, including access to training programs, conferences, and workshops.
• State-of-the-art technology environment with access to cutting-edge tools and resources.
• Vibrant and inclusive company culture with opportunities for growth and advancement.
• Exciting projects with real-world impact at the forefront of data-driven innovation.

Join Us: Ready to lead the charge in data pipeline development? Apply now to join our team and be part of the data revolution!