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Senior Data Engineer
2 months ago
We are seeking a skilled Data Engineer to join our team. The ideal candidate will have a strong background in Big Data Processing, Python, AWS, Glue, EMR, and Spark. This role requires a deep understanding of data pipeline architecture, data integration, and data processing to ensure the reliability, scalability, and efficiency of our data systems.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using AWS Glue, EMR, and Spark.
- Implement data processing frameworks and ensure the quality and integrity of data across various platforms.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Optimize data workflows and processes for maximum efficiency and performance.
- Monitor and troubleshoot data pipeline issues, ensuring timely resolution.
- Stay up-to-date with the latest technologies and best practices in data engineering and big data processing.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong programming skills in Python.
- Proficiency with AWS services, particularly Glue and EMR.
- Extensive experience with Apache Spark for large-scale data processing.
- Solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Experience with SQL and NoSQL databases.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications
- Master's degree in Computer Science, Information Technology, or a related field.
- Experience with other big data technologies such as Hadoop, Kafka, or Flink.
- Knowledge of containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with machine learning and data science concepts.
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”