Data Engineer (Mostly Remote)
Annapolis, MD
Full Time Mid-level / Intermediate USD 130K
Latitude
Latitude Inc is an organization providing staffing solutions and government services for companies and public sector.Responsibilities
- Data Engineering:
- Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
- Collaborate with data architects and analysts to ensure data quality, integrity, and consistency across datasets.
- Optimize data structures and storage for efficient data retrieval and analytics performance.
- Implement data governance, security, and compliance measures to protect sensitive information.
- Power BI Dashboard Development:
- Create visually compelling and interactive Power BI dashboards and reports to visualize key performance indicators (KPIs), trends, and insights.
- Customize and configure Power BI visuals, filters, and parameters to meet business requirements and user needs.
- Integrate data from multiple sources into Power BI for comprehensive analytics and reporting capabilities.
- Train and support users in leveraging Power BI for self-service analytics and data exploration.
- Cloud Infrastructure Setup:
- Configure and deploy cloud environments on Azure or AWS, including data storage, compute resources, and services.
- Optimize cloud infrastructure for scalability, reliability, and cost-effectiveness, leveraging best practices and automation tools.
- Monitor cloud performance, security, and resource utilization, implementing continuous improvements and optimizations.
- Collaborate with IT and DevOps teams to integrate data engineering workflows with cloud platforms and services.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred).
- 5+ years of experience in data engineering, data modeling, and ETL development.
- Proficiency in Power BI, including dashboard design, DAX expressions, and data modeling techniques.
- Experience with cloud platforms such as Azure (Azure Data Factory, Azure SQL Database) or AWS (AWS Glue, Amazon Redshift).
- Strong SQL skills and knowledge of database systems (SQL Server, MySQL, PostgreSQL, etc.).
- Familiarity with big data technologies (Hadoop, Spark) and machine learning concepts is a plus.
- Excellent problem-solving skills, analytical thinking, and attention to detail.
- Effective communication skills and ability to work collaboratively in a team environment.
Tags: AWS AWS Glue Azure Big Data Computer Science Data governance Data pipelines Data quality Data visualization Data warehouse DevOps Engineering ETL Hadoop KPIs Machine Learning MySQL Pipelines PostgreSQL Power BI Redshift Security Spark SQL
Perks/benefits: Career development
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