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Senior Data Engineer
2 weeks ago
Job Description: Senior Data Engineer
Key Responsibilities:
- Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of structured and unstructured data from multiple sources.
- Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and implement solutions that meet business needs.
- Optimize and tune data pipelines and workflows for performance, scalability, and reliability.
- Implement data governance processes and ensure data quality and integrity throughout the data lifecycle.
- Design and maintain data warehouse and data lake architectures to store and organize data for analytics and reporting purposes.
- Research and evaluate new technologies and tools to enhance our data infrastructure and capabilities.
- Provide technical leadership and mentorship to junior members of the data engineering team.
- Collaborate with infrastructure and DevOps teams to deploy and manage data solutions in cloud-based environments.
- Develop and maintain documentation for data pipelines, systems, and processes.
Qualifications:
- Bachelor's degree or higher in Computer Science, Engineering, or a related field.
- X+ years of experience in data engineering, with a proven track record of designing and implementing complex data solutions.
- Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
- Strong experience with distributed data storage and processing technologies such as Hadoop, Apache Kafka, Apache HBase, or similar.
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services such as AWS EMR, S3, Glue, or Azure Data Factory.
- Experience with SQL and relational databases (e.g., PostgreSQL, MySQL) as well as NoSQL databases (e.g., MongoDB, Cassandra).
- Solid understanding of data modeling concepts and proficiency in designing efficient data schemas.
- Excellent problem-solving skills and the ability to troubleshoot complex data issues.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with Agile development methodologies and tools like JIRA is a plus.