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Staff Data Analytics Engineer

3 months ago

Bengaluru, India Greenlight Full time

Greenlight is the leading family fintech company on a mission to help parents raise financially smart kids. We proudly serve more than 6 million parents and kids with our award-winning banking app for families. With Greenlight, parents can automate allowance, manage chores, set flexible spend controls, and invest for their family’s future. Kids and teens learn to earn, save, spend wisely, and invest.


At Greenlight, we believe every child should have the opportunity to become financially healthy and happy. It’s no small task, and that’s why we leap out of bed every morning to come to work. Because creating a better, brighter future for the next generation depends on it.


Greenlight Financial is seeking a highly skilled and experienced Staff Data Analytics Engineer to join our Data Platform Team. As a Staff Data Analytics Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring robust and scalable data solutions to support our business needs. You will collaborate with cross-functional teams to deliver high-quality data products that drive strategic decision-making and business insights.



What you will be doing:

  • Design and implement data models that support analytical and reporting requirements.
  • Collaborate with data analysts and business stakeholders to understand data needs and translate them into technical requirements.
  • Participate in design and architecture discussions to ensure data requirements are accurately captured and implemented.
  • Develop and maintain clear documentation of data sources, data flows, and data transformations in collaboration with the engineering team.
  • Ensure data integrity and consistency by working with engineers to implement best practices for data collection, storage, and retrieval.
  • Ensure data quality and consistency across various data sources and systems.
  • Work closely with engineering managers, engineers, product managers and business analysts to understand and address their data needs.
  • Act as a subject matter expert on analytics engineering best practices and tools.
  • Mentor junior team members and provide technical guidance and support.


What you should bring:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Minimum of 8 years of experience in analytics engineering, analyst or a related role.
  • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
  • Strong programming skills in Python or a similar language.
  • Strong familiarity with any one of cloud data warehousing solutions is a must (e.g., Snowflake, Redshift, BigQuery).
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, GCP, Azure).
  • Familiarity with risk management concepts and analytics methodologies in the fintech domain.
  • Experience with version control systems (e.g., Git) and agile development methodologies is a plus.
  • Familiarity with other data engineering tools, such as Apache Airflow, Databricks is a plus.


Who we are:

It takes a special team to aim for a never-been-done-before mission like ours. We’re looking for people who love working together because they know it makes us stronger, people who look to others and ask, “How can I help?” and then “How can we make this even better?” If you’re ready to roll up your sleeves and help parents raise a financially smart generation, apply to join our team.