Data Infrastructure Manager
1 day ago
**Job Responsibilities:**
- Design, develop, and implement end-to-end data pipelines using ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
- Manage and maintain existing data infrastructure and pipelines, ensuring scalability, reliability, and high-performance processing.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and design optimal data models and architectures.
- Develop and maintain documentation for software applications, workflows, and processes.
- Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.
- Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
- Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
**Requirements:**
- US Citizenship Required: Only US Citizens are eligible for this position.
- Clearance: US Citizens, Biz First will sponsor security clearance.
- Experience: Minimum of 6 years of experience as a Data Engineer or in a similar role, with a strong background in building and managing data pipelines.
- Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka.
- Database Management: Experience with relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, or Cassandra.
- Programming Languages: Strong programming skills in Python and Scala.
- Cloud Services: Experience with cloud platforms such as AWS, Azure, or Google Cloud, and their data services.
- Data Modeling: Expertise in data modeling, schema design, and data warehousing.
- Data Security: Knowledge of data security best practices and regulatory compliance.
- Databricks: Experience with Databricks for data processing and analytics, including building and managing data pipelines in Databricks environments.
- Problem-solving: Strong problem-solving skills and ability to work in a fast-paced dynamic environment.
- Communication: Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams.
- Detail-oriented: Detail-oriented mindset with a commitment to delivering high-quality results.
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