Role Overview
We are seeking a skilled ETL Data Integration Engineer to join our dynamic team. The ideal candidate will possess expertise in extracting, transforming, and loading data from various sources into data warehouses. The role involves a strong focus on automation, data quality, and ensuring efficient data pipelines. You will work collaboratively to enhance our data integration processes and support data-driven decision-making across the organization.
Key Responsibilities:
- Design and implement ETL processes to integrate data from diverse sources.
- Optimize existing data pipelines for performance and reliability.
- Collaborate with data analysts to understand data requirements and ensure accuracy.
- Monitor data quality and troubleshoot issues as they arise.
- Create and maintain documentation for data integration workflows and processes.
- Participate in architecture discussions and propose data solutions based on best practices.
- Implement automated testing for ETL jobs to ensure data integrity.
- Stay current with industry trends in data integration technologies.
Required Skills:
- Experience with SQL and databases such as MySQL or PostgreSQL.
- Proficiency in ETL tools like Talend, Informatica, or Apache Nifi.
- Strong understanding of data warehousing concepts and techniques.
- Ability to write efficient Scripting languages (e.g., Python, Bash).
- Knowledge of data modeling principles and practices.
- Experience with cloud-based data services (AWS, Azure, GCP).
- Familiarity with API integrations and data ingestion methods.
- Proficient in version control systems like Git.
Preferred Skills:
- Experience with NoSQL databases such as MongoDB or Cassandra.
- Familiarity with data visualization tools like Tableau or Power BI.
- Knowledge of big data technologies like Hadoop or Spark.
