Data Engineer

Overview

Join our dynamic team as a Data Engineer and become a vital driver of our data-driven decision-making process! In this role, you will design, develop, and maintain scalable data pipelines and architectures that empower our business to leverage big data systems effectively. Your expertise will enable seamless data management, integration, and analysis across cloud platforms and on-premises environments.

We are looking for energetic professionals passionate about transforming complex data into actionable insights through innovative engineering solutions. This is an exciting opportunity to work with cutting-edge technologies like AWS, Azure Data Lake, Hadoop, Spark, and more, contributing to impactful projects that shape our strategic growth.

Responsibilities

• Develop and optimize ETL (Extract, Transform, Load) pipelines using tools such as Talend, Informatica, and custom Python scripts to ensure efficient data flow across systems.
• Design and implement scalable data models and architectures for data warehouses using dimensional modeling principles and SQL databases like Microsoft SQL Server and Oracle.
• Manage big data systems utilizing Hadoop ecosystem components such as Apache Hive, Spark, and related technologies to process large datasets reliably.
• Collaborate with cross-functional teams to integrate linked data sources and develop RESTful APIs for seamless data access and sharing.
• Build and maintain cloud-based data solutions on platforms like AWS, Azure Data Lake, and other public cloud services to support enterprise analytics initiatives.
• Ensure robust data security, quality, and governance standards are upheld throughout all engineering processes.
• Support business intelligence tools such as Looker by preparing optimized queries and dashboards that enable insightful analytics for stakeholders.

Skills

• Extensive experience with cloud databases including AWS services (e.g., S3, Redshift), Azure Data Lake, and other public cloud platforms.
• Strong proficiency in programming languages such as Java, Python, Bash (Unix shell), and Shell Scripting for automation and pipeline development.
• Deep understanding of big data systems like Hadoop ecosystem components (HDFS, Hive), Spark for distributed processing, and related frameworks.
• Proven ability in designing data models using dimensional modeling techniques for data warehousing projects.
• Skilled in SQL query management across various databases including Microsoft SQL Server, Oracle, and cloud-based SQL databases.
• Knowledge of ETL pipeline development tools such as Talend or Informatica for efficient data integration workflows.
• Familiarity with business intelligence tools like Looker to facilitate reporting and analytics; experience with RESTful API development is a plus.
• Strong analysis skills with the ability to translate complex business requirements into scalable technical solutions within Agile environments.

Embark on a journey where your technical expertise fuels innovation! We’re committed to fostering a collaborative environment that values continuous learning and professional growth—empowering you to make a tangible impact through your work every day.

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.

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Pay: $60,000.00 - $80,000.00 per year

Work Location: In person