Data Engineer 3

Summary:
Client’s Bigdata team is looking to hire a Full Stack Engineer who will build and own the engineering roadmap of their cutting edge inhouse marketing SaaS solution. This solution harnesses the power of Company’s big data to empower all marketing teams reach their customers throughout the country.
Responsibilities:

• Design, develop, test, deploy, maintain and enhance our desktop-based data web applications from front-end to back-end.
• Triage product and system issues and debug/resolve by analyzing the source of issues and impact on service operations and quality
• Collaborate with product managers, Data Engineers, data analysts, and marketing tech vendors to prioritize engineering deadlines and deliverables
• Work with Data Engineers and data scientists to design and deploy complex data models, fueling the application
• Deploy applications on cloud infrastructure, ensuring scalability, performance, and security
• Integrate application with inhouse bigdata system and third-party marketing systems using APIs and other solutions
• Write clean, efficient, and reusable code and contribute to existing documentation and adapt content based on product/program updates and user feedback

Top Skills:

• Full Stack development experience
• Experience with Data Modeling in Big Data environment
• Experience working in AWS/GCP/Azure cloud environments

Skills:

• Browser programming using JavaScript, jQuery, ReactJS, Angular or Vue
• Server programming using NodeJS, Python, PHP, ASP
• Database programming using SQL, SQLite, Hive/Hadoop, or MongoDB
• Proficient in a Linux scripting or a scripting language
• Experienced in APIs and Micro services development and management

Qualifications:

• Curious, ownership, and outcome mindset with the ability to pivot as per business requirements
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in engineering both client and server software
• 5+ years of experience with Data Modeling in Big Data environments and have worked on massive structured/unstructured datasets before

Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on a number of factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.