Role Overview
We are seeking a dedicated Senior Data Pipeline Engineer to join our innovative team. In this role, you will be responsible for designing and implementing robust data pipeline solutions that facilitate seamless data ingestion and processing. Your expertise in handling large datasets and optimizing performance will be crucial in driving our data infrastructure initiatives. Join us in making data accessible and actionable for the entire organization.
Key Responsibilities:
- Design and implement scalable data pipelines that meet business requirements.
- Monitor and optimize existing data workflows for performance and reliability.
- Collaborate with data scientists and analysts to understand data needs.
- Ensure data quality and integrity throughout the data lifecycle.
- Develop automated testing and validation processes for data integrity.
- Utilize cloud services to deploy and manage data solutions.
- Document technical specifications and procedures for data processes.
- Perform root cause analysis on data issues and resolve complex problems.
- Stay updated with industry trends and best practices in data engineering.
Required Skills:
- Extensive experience with Python for data manipulation.
- Strong knowledge of SQL and database management systems.
- Experience with cloud technologies like AWS or GCP.
- Solid understanding of ETL processes and tools.
- Familiarity with big data technologies such as Hadoop or Spark.
- Experience with data warehousing solutions and SQL-based analytics.
- Knowledge of data pipeline orchestration tools like Airflow or Kafka.
- Strong problem-solving and analytical skills.
Preferred Skills:
- Experience with NoSQL databases
- Familiarity with machine learning frameworks
- Knowledge of data visualization tools
- Strong communication skills
