Job Description
Key Responsibilities:
- Lead the design, development, and implementation of data pipelines and ETL workflows using Matillion and Databricks.
- Architect and implement data solutions in AWS, including but not limited to Amazon S3, AWS Glue, Amazon Redshift, and Amazon RDS.
- Manage and optimize workflow orchestration using Apache Airflow to ensure reliable data processing and job scheduling.
- Collaborate with cross-functional teams to gather requirements and translate them into scalable data architecture and process designs.
- Mentor and guide junior data engineers, providing technical leadership and fostering a culture of continuous improvement and innovation.
- Ensure data quality and integrity by implementing best practices in data governance and validation.
- Monitor performance, troubleshoot issues, and optimize data systems for efficiency and scalability.
- Stay abreast of industry trends and emerging technologies to ensure continuous improvement of the data engineering practices.
Qualifications:
- Bachelor’s degree in Computer Science or related Engineering, or a related field.
- 10+ years of experience in data engineering or related roles, with a proven track record of leading technical teams.
- Extensive experience with AWS services, particularly in data storage, data processing, and database management.
- Hands-on experience with Matillion for ETL processes and data integration.
- Proficient in using Databricks for data analysis and processing with Apache Spark.
- Strong knowledge of Apache Airflow for workflow orchestration and scheduling.
- Experience with SQL and data modeling principles; familiarity with NoSQL databases is a plus.
- Excellent problem-solving skills and ability to work in a fast-paced, agile environment.
- Strong communication skills to effectively interact with technical and non-technical stakeholders.
Preferred Skills:
- Experience with Python, Pyspark, and SQL for data processing and scripting.
- Experience in AWS services,Databricks,Airflow & Matillion
- Familiarity with data visualization tools such as Power BI.
- Knowledge of machine learning practices and frameworks.
Current Contingent Workers apply
Preferred Skills:
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