Data Engineer - Data - Bangalore, India

The Company

MPOWER’s borderless loans enable students from around the world to realize their full academic & career potential by attending top universities in the U.S and Canada.

As a mission-oriented FinTech / EdTech company, we move extremely fast and leverage the latest technologies, global best practices, and heavy analytics to tackle one of the biggest challenges in financial inclusion. We’re backed by over $150 million in equity capital from top global investors, which enables our fast-growth and provides our company with financial stability and a clear path to an IPO over the coming years.

Our global team is composed of ex-management consultants, financial services and technology professionals, and other experts in their respective fields. We work hard, have fun, and believe greatly in our cause. For us, MPOWER’s mission of making this mission is personal.

As a member of our team, you’ll be challenged to think quickly, act autonomously, and constantly grow, creatively in an environment where fast change and exponential growth is the norm. ideation and implementation happens very quickly. We value feedback and emphasize personal and professional development by providing the resources you need to further your skills and grow with the company. MPOWER is committed to cultivating your strengths and curiosity and helping you make an immediate impact.

MPOWER has been named one of the best fintechs to work for by American Banker for the past 6 years in a row. We are honored to be nominated by multiple agencies and publications for our leadership in Tech, diversity and social impact. We pride ourselves on being a “growth company for grown-ups,” where there are no pool tables but rather great health, education, and maternity/paternity benefits instead. Our team diversity has been recognized as well; we’re one of the most diverse workforces in the world in terms of nationality, gender, religion, age, sexual orientation, and educational background.

THIS IS A FULL-TIME POSITION, BASED IN OUR BANGALORE OFFICE

THE ROLE

Role

You will be tasked with building and maintaining MPOWER’s data infrastructure. You’ll also play a key role in acquiring, organizing and analyzing data to provide insights that enable the company in making sound business decisions. This includes, but is not limited to:

• Design, build, and maintain data pipelines in Python and AWS using services such as AWS Redshift, AWS Glue, and MWAA.
• Ensuring data quality and integrity through data validation, cleansing, and error handling techniques.
• Monitoring, troubleshooting, and optimizing performance of data pipelines, ensuring reliability and scalability.
• Establishing the needs of different users and monitoring user access and security
• Capacity planning and refining the physical design of the database to meet system storage requirements.
• Building data models to identify, analyze and interpret trends or patterns in data sets that inform business decisions and strategy
• Working with various internal and external stakeholders to maintain and develop enhanced data collection systems
• Performing periodic data analyses, creating and presenting findings and insights
• Performing scheduled data audits in order to locate and correct code errors and maintain data integrity
• Collaborating with MPOWER’s global tech team to build data collection and data analysis tools
  
  

The Qualifications

• Undergraduate degree in computer science; advanced degree preferred
• 5+ years of experience in database programming and data analysis
• Must have prior experience in building high quality databases in accordance with end users information needs and views
• Strong proficiency in Python, AWS Redshift, AWS Glue, and Managed Workflows for Apache Airflow (MWAA), Data Pipeline, CI/CD
• Prior experience with AWS Glue or Databricks and Redshift or Snowflake is a must
• Knowledge of best practices in data warehousing, ETL, and data quality frameworks.
• Hands-on expertise and exposure to at least one database technology (MySQL, PostgreSQL)
• Advanced knowledge of R/Python, PySpark, or Scala is a plus
• Prior experience building data pipelines and data orchestration is a plus.
• Experience in Big Data and Hadoop ecosystems is a plus
• Superior analytical and problem solving skills
• Proven ability to create and present comprehensive reports
• Ability to multitask and own several key responsibilities at a given time
• Passion for excellence: constantly striving to improve professional skills and business operations
  
  

A passion for financial inclusion and access to higher education is a must, as well as comfort working with a global team across multiple time zones and locations!

In addition, you should be comfortable working in a fast growth environment, meaning a small agile team, fast-evolving roles and responsibilities, variable workload, tight deadlines, a high degree of autonomy, and 80-20 everything.