Big Data Engineering Lead
4 days ago
About the Role:
Hire Talent is seeking a seasoned Senior Data Engineer to lead our big data engineering efforts. As a key member of our Consumer Data Engineering team, you will be responsible for designing, building, and maintaining large-scale data infrastructure that supports our business needs.
Responsibilities:
- Develop and maintain large-scale data pipelines using AWS EMR, Spark, and Python.
- Optimize Spark applications and ETL pipelines for performance and scalability.
- Collaborate with product managers and analysts to design and implement data models and data warehousing solutions.
- Integrate data systems with other applications and services.
- Ensure data quality, integrity, and security across all data systems.
- Implement CI/CD pipelines for automated testing and deployment.
Qualifications:
- Minimum 5 years of experience in data engineering, big data, or a related field.
- Proficient in Spark, including Spark Core, Spark SQL, and Spark Streaming.
- Experience with AWS EMR, including cluster management and job optimization.
- Strong Python programming skills, including data structures, algorithms, and software design patterns.
- Hands-on experience with Databricks, including Databricks Lakehouse (advantageous).
- Good understanding of data modeling, data warehousing, and data governance.
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