Data Pipeline Developer

Company Overview: Welcome to the forefront of data-driven innovation! At our company, we're committed to harnessing the power of data to drive insights and empower decision-making. Our mission is to develop scalable and efficient data pipeline solutions that enable organizations to streamline data processing and analysis. Join us and be part of a dynamic team dedicated to shaping the future of data pipeline development.

Position Overview: As a Data Pipeline Developer, you'll play a crucial role in designing, building, and maintaining our data pipeline infrastructure and workflows. Working closely with cross-functional teams of data engineers, analysts, and business stakeholders, you'll ensure the reliability, scalability, and efficiency of our data pipeline solutions. If you're passionate about data engineering and eager to drive innovation through scalable data solutions, we want you on our team.

Requirements

Key Responsibilities:

1. Data Pipeline Design: Design and architect scalable and reliable data pipeline solutions to automate data ingestion, processing, and transformation tasks.
2. Data Integration: Integrate data from diverse sources, including databases, files, APIs, and streaming platforms, into our data pipeline ecosystem, ensuring data consistency and coherence.
3. Data Processing: Develop and maintain data processing workflows to cleanse, enrich, and transform raw data into formats suitable for analysis and reporting.
4. Data Orchestration: Orchestrate and schedule data pipeline workflows using workflow management tools and frameworks (e.g., Apache Airflow, Luigi, Prefect).
5. Performance Optimization: Optimize data pipeline performance for speed, efficiency, and scalability, tuning data processing tasks and optimizing resource utilization.
6. Data Quality and Governance: Implement data quality checks, validation rules, and error handling mechanisms to ensure the accuracy, completeness, and consistency of data in the pipeline.
7. Monitoring and Maintenance: Monitor data pipeline performance and health, proactively identifying and addressing issues to minimize downtime and optimize resource utilization.
8. Documentation and Collaboration: Document data pipeline architecture, processes, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.

Qualifications:

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• Strong background in data engineering, with hands-on experience in designing, building, and optimizing data pipeline solutions.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Beam, or Apache Flink.
• Experience with workflow management tools and frameworks such as Apache Airflow, Luigi, or Prefect.
• Familiarity with data integration techniques and technologies, including ETL (Extract, Transform, Load) processes and streaming data processing.
• Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

• Competitive salary: The industry standard salary for Data Pipeline Developers typically ranges from $140,000 to $210,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• 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 team-building activities and social events.
• Opportunities for career growth and advancement within the company.
• Exciting projects with real-world impact across diverse industries.
• Chance to work alongside top talent and industry experts in the field of data engineering.

Join Us: Ready to shape the future of data pipeline development? Apply now to join our team and be part of an exciting journey of innovation and discovery!