Big Data Engineer

Qualifications

MUST HAVE SKILLS (Most Important): Experience working in a cross platform data environment, working in both NoSQL and RDBMS databases concurrently Experience managing data workflows with Airflow Experience with AWS and GCP

10 years

Responsibilities:

Design application code, implement technical solutions, and configure applications in various environments in response to business problems in close collaboration with Architects, Business Analysts and Change Partners

Manage Hadoop, NoSQL, and/or MPP infrastructure supporting data

Write applications to solve analytical problems

Code, test, release, and support Big Data

Help in the design and build of the data platform over Big Data technologies

Solve big data engineering problems

Analyze, recommend, and implement data technologies for the platform

Involved in case studies about Big Data

Responsible for efficient deliveries

Work with others to propose the best technical solutions

Help design the best backend data warehouse platform to support the capacity and performance

Participate in the proof of concept application

Responsibilities:
• Design application code, implement technical solutions, and configure applications in various environments in response to business problems in close collaboration with Architects, Business Analysts and Change Partners.
• Manage Hadoop, NoSQL, and/or MPP infrastructure supporting data.
• Write applications to solve analytical problems.
• Code, test, release, and support Big Data.
• Help in the design and build of the data platform over Big Data technologies.
• Solve big data engineering problems.
• Analyze, recommend, and implement data technologies for the platform.
• Involved in case studies about Big Data.
• Responsible for efficient deliveries.
• Work with others to propose the best technical solutions.
• Help design the best backend data warehouse platform to support the capacity and performance.
• Participate in the proof of concept application.