<Job Overview>
Ignite your career as a Data Engineer and become a vital driver of data-driven decision-making! In this dynamic role, you will design, develop, and optimize scalable data pipelines and architectures that empower organizations to harness the full potential of their data assets. Your expertise will enable seamless integration of diverse data sources, ensuring high-quality, accessible information for analytics, reporting, and strategic initiatives. Join us to transform complex data challenges into innovative solutions that propel business growth and operational excellence.

<Responsibilities>

• Develop and maintain robust ETL (Extract, Transform, Load) processes to efficiently move and transform large volumes of data across cloud and on-premises platforms.
• Design and implement scalable data architectures utilizing technologies such as Hadoop, Spark, Apache Hive, and Azure Data Lake to support big data analytics.
• Collaborate with cross-functional teams to gather requirements, translate business needs into technical solutions, and ensure data integrity throughout the pipeline.
• Optimize database performance by designing effective schemas in Microsoft SQL Server, Oracle, and Data Warehouse environments.
• Build and deploy RESTful APIs for seamless data access and integration with external systems and applications.
• Utilize programming languages like Python, Java, VBA, Bash (Unix shell), and Shell Scripting to automate workflows and enhance system functionality.
• Conduct model training and analysis to support advanced analytics initiatives while ensuring compliance with best practices in data governance.
• Leverage tools such as Talend, Informatica, Looker, and analysis skills to facilitate insightful reporting and visualization for stakeholders.
• Follow Agile methodologies to ensure iterative development, continuous improvement, and timely delivery of data solutions.

<Skills>

• Proficiency in cloud platforms such as AWS and Azure Data Lake for scalable storage and processing solutions.
• Strong command of SQL programming with experience in Microsoft SQL Server, Oracle, and SQL-based data modeling.
• Hands-on experience with big data technologies including Hadoop ecosystem components like Apache Hive and Spark.
• Knowledge of ETL tools such as Talend or Informatica for efficient data integration workflows.
• Familiarity with Looker or similar BI tools for creating interactive dashboards and reports.
• Experience in database design principles to develop optimized data warehouses supporting analytics needs.
• Programming expertise in Python and Java for developing custom data processing applications.
• Ability to work with RESTful APIs for system integration purposes.
• Skills in analysis techniques for deriving insights from complex datasets combined with strong attention to detail.
• Experience with shell scripting (Bash/Unix shell) and VBA automation to streamline processes.
• Understanding of linked data concepts for semantic interoperability across diverse datasets.
• Knowledge of Agile development practices to foster collaborative project execution. Embark on a journey where your technical prowess fuels innovation! We’re looking for passionate Data Engineers eager to craft impactful solutions that unlock the power of big data—empowering organizations today for a smarter tomorrow!

Pay: $121,740.88 - $146,612.67 per year

Benefits:

• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance

Work Location: Remote