Data Engineer

**Job Overview** We are seeking a dynamic and innovative Data Engineer to join our team and drive the development of robust data systems that empower insightful decision-making. In this role, you will be instrumental in designing, building, and maintaining scalable data pipelines and architectures that support our business intelligence and analytics initiatives. Your expertise will enable seamless data integration across diverse platforms, ensuring high-quality data management and accessibility for stakeholders. If you thrive in a fast-paced environment where your technical skills can make a tangible impact, this opportunity is perfect for you! **Responsibilities** * Develop and implement scalable ETL (Extract, Transform, Load) pipelines to process large volumes of data from various sources using tools like Informatica, Talend, or custom scripting with Python and Bash. * Design and optimize data models for data warehouses, ensuring efficient dimensional modeling and schema design aligned with business needs. * Manage and maintain cloud-based data systems on platforms such as AWS, Azure Data Lake, or other Public Cloud environments, ensuring high availability and security. * Collaborate with cross-functional teams to integrate linked data sources and develop comprehensive data solutions utilizing Big Data systems like Hadoop, Spark, Apache Hive, and related technologies. * Build and enhance business intelligence dashboards using tools such as Looker or other BI tools to facilitate insightful analysis for stakeholders. * Maintain SQL databases including Microsoft SQL Server, Oracle, and cloud databases by writing complex queries, managing query performance, and ensuring data integrity. * Support the development of RESTful APIs for data access and integration purposes while adhering to best practices in software development and Agile methodologies. **Experience** * Proven experience working with Big Data systems such as Hadoop, Spark, Apache Hive, or similar frameworks. * Strong proficiency in SQL programming with extensive experience in SQL databases like Microsoft SQL Server or Oracle. * Hands-on experience designing data models using dimensional modeling techniques for Data Warehousing environments. * Familiarity with cloud-based data storage solutions including AWS services (e.g., S3), Azure Data Lake, or equivalent Public Cloud offerings. * Skilled in ETL pipeline development utilizing tools like Informatica or Talend as well as scripting languages such as Python or Bash (Unix shell). * Knowledge of Data Management Integration practices to ensure seamless data flow across diverse systems. * Ability to analyze complex datasets using analytics skills to support business insights and model training initiatives. * Experience working within Agile teams to deliver iterative improvements on big data systems and analytics solutions. Join us if you're passionate about transforming raw data into actionable insights through innovative engineering! This role offers the chance to work at the forefront of technology while contributing to impactful projects that shape strategic decisions across the organization. **VForce Infotech is an Equal Opportunity Employer** \*We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected status. **Communication Preferences:** “To opt out of future recruiting emails from VForce Infotech, please reply with “Unsubscribe” in the subject line or message body. We will honor your request within 10 business days” Pay: $60,000.00 - $80,000.00 per year Work Location: In person