Senior Data Pipeline Specialist
2 weeks ago
Our organization is seeking a skilled and experienced Data Engineer to lead the design, development, and maintenance of robust data pipelines and infrastructure.
The ideal candidate will have expertise in data processing, ETL workflows, and modern data technologies to support our analytics and business intelligence initiatives.
Key Responsibilities:- Design and develop scalable data pipelines and ETL processes to drive business insights
- Build and maintain large-scale data warehouses and data lakes to meet evolving data requirements
- Optimize data processing workflows for performance and reliability, ensuring seamless data delivery
- Collaborate with cross-functional teams, including data scientists and analysts, to deliver data solutions that drive business growth
- Monitor data quality and implement effective data governance practices to ensure data integrity
- Work closely with cloud platforms and big data technologies to stay at the forefront of data innovation
- At least 3 years of experience in data engineering or a related field, with a strong track record of delivering high-quality data solutions
- Proficiency in SQL, Python, and data processing frameworks, with a focus on scalability and performance
- Hands-on experience with cloud platforms (AWS, Azure, or GCP) and big data technologies like Spark or Hadoop
- Strong knowledge of data warehousing and ETL tools, with the ability to integrate disparate data systems
- Excellent problem-solving and analytical skills, with a keen eye for detail and a passion for continuous learning
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