Data Engineer | Noida- Hybrid

About the Position : 

Data is the lifeblood of any technology company. At C2FO, we know the best way to ensure our success is to provide our decision-makers with the most accurate, most relevant data possible.

Our Data Engineers use cutting-edge, open-source technologies to collect, process, and store the companys data.  They also work closely with talented scientists, engineers, and data experts to solve complicated long-term financial and working capital problems for clients in different industries, including Retail, Technology, and Health Care.

As a Data Engineer, you will be responsible for building and maintaining a scalable, reliable, and secure data infrastructure. You will work with stakeholders across the organization to design, develop, and maintain ETL pipelines, data models, and data lake architectures. You will also ensure the quality and accuracy of the data, and collaborate with data analysts, data scientists, and other teams to deliver data-driven insights and solutions.

Essential Duties :

• Work closely with Software Engineers, Data Scientists, Data Operations, and Business Analysts to meet the company’s data storage, access, and analysis needs. 
• Develop and implement processes for data cleaning, ensuring data quality and integrity.
• Collaborate with the Development and Operations teams to deploy and maintain clustered computing across multi-cloud environments. 
• Monitor, maintain, and enhance existing data pipelines to ensure reliability and data integrity.
• Maintain documentation of data infrastructure, processes, and data dictionaries.
• Work independently on logically complex tasks with some external dependencies while tracking and reliably pushing the work through the process.
• Take ownership of the codebase they work in and contribute to any required improvements.
• Solicit feedback from peers, teammates, and managers to identify improvement areas and take steps to learn and grow.
• Follow defined engineering processes and share new tools or processes to help the team be more collaborative, effective, or efficient.
• Stay updated with industry trends and emerging technologies to improve data infrastructure and processes continuously.

Basic Qualifications : 

• Bachelor’s degree in computer science or a related field
• 2-3 years of relevant engineering experience
• Some relevant experience in Data Engineering space
• Concerned with the success of their team
• Respectful towards teammates regardless of their abilities
• Able to work in a highly collaborative software development environment
• Curious to understand the work's problem space and 'why.'
• Passionate about testing, code quality, and continuous integration
• Persistent while facing roadblocks, dispatching them efficiently, and pulling in others as necessary.
• Comfortable with source control, especially git
• Experience with cloud platforms - AWS or GCP
• Necessary Experience on:
• SQL, and Query Optimization.
• Scala/Python.
• Hands-on experience with Apache Spark or similar big data tools.

Preferred Qualifications: 

• Passionate about solving problems for a fast-paced FinTech company
• We would be delighted to hire someone who has knowledge or some experience with:
  
• Experience with databases like Redshift, Postgres, or similar tools.
• Understanding of data warehousing concepts and methodologies 
• Orchestration tools like Airflow etc.
• Familiarity with DevOps tools such as K8s, GitHub actions, or Docker
• Familiar with Agile methodologies such as Scrum or Kanban