Lead Data Engineer

Bangalore, India

Q2

Q2 creates simple, smart, end-to-end banking and lending experiences that make you an indispensable partner on your customers’ financial journeys

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As passionate about our people as we are about our mission.

What We’re All About:

Q2 is proud of delivering our mobile banking platform and technology solutions, globally, to more than 22 million end users across our 1,300 financial institutions and fintech clients.  At Q2, our mission is simple: Build strong, diverse communities by strengthening their financial institutions. We accomplish that by investing in the communities where both our customers and employees serve and live.

What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.

Job Description

Q2 is seeking a Lead Data Engineer to join our Data Insights organization. As part of the Data Engineering team, you will build and maintain the Cloud infrastructure for developing and deploying data analytic products and core data transformation jobs. Our team collaborates closely with data scientists and other product engineering teams. Our goal is to enable Data Scientists to focus on creating data products through discovery and development of transformation jobs and machine-learning models, while ensuring their quick deployment to production. Our team supports the data and machine-learning aspects for multiple Q2 products including Online Banking, PrecisionLender and Fraud Prevention.

Responsibilities

  • Designs, implements, integrates, and tests complex infrastructure and software solutions.
  • Monitor database performance and implement optimization techniques to improve database performance
  • Provides technical leadership and mentorship for other team members. Reviews and critiques designs and implementations
  • Writing high-quality, efficient, and maintainable code, often with a focus on solving complex technical challenges.
  • Facilitates collaboration of working team and often engages with stakeholders and product owners.
  • Expert level knowledge on Snowflake is a must. Knowledge on other data warehouse products is an added advantage
  • Identifying and addressing performance bottlenecks, and optimizing code and systems for improved speed and efficiency.
  • Maintaining comprehensive technical documentation, including system architecture, code comments, and documentation to assist in understanding and maintaining the software.
  • Effectively communicating technical concepts and project status to non-technical stakeholders.

Experience and Knowledge

  • Degree in Computer Science, Information Systems, or equivalent experience
  • 8+ years of related professional experience
  • Advanced knowledge in multiple areas of
    • data transformations, data pipelines, workflow automation, and scheduling systems
    • data-centric systems architecture
    • database systems, data warehouses, distributed file storage and compute platforms
  • Experience with several of the technologies we currently use:
    • Cloud Providers: AWS, Azure
    • Data Pipelines: Apache Airflow, dbt
    • Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker
    • Databases: Snowflake, SqlServer, Postgresql
    • Containerization: Kubernetes, Docker
    • Languages: Python, C#, Golang, Bash, SQL
    • CI/CD: GitLab, Azure DevOps
    • SCM: Git, Github, GitLab

We look for engineers that are comfortable working in a team setting as well as working individually under their own responsibility. Regardless of experience level, all our engineers strive to learn more than they knew yesterday. We pride ourselves on elevating the folks around us. We grow leaders and encourage engineers at all levels of experience to take ownership of challenging work.

NA

This position requires fluent written and oral communication in English.

Health & Wellness

  • Hybrid Work Opportunities

  • Flexible Time Off 

  • Career Development & Mentoring Programs 

  • Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents 

  • Community Volunteering & Company Philanthropy Programs 

  • Employee Peer Recognition Programs – “You Earned it”

Click here to find out more about the benefits we offer.

How We Give Back to the Community:

You can learn more about our Q2 Spark Program, Q2 Philanthropy fund, and our employee volunteering programs on our Q2 Community page. Q2 supports dozens of wide-reaching organizations, such as the African American Leadership Institute, and The Trevor Project, promoting diversity and success in leadership and technology. Other deserving beneficiaries include Resource Center helping LGBTQ communities, JDRF, and Homes for our Troops, a group helping veterans rebuild their lives with specially adapted homes.

At Q2, our goal is to be a diverse and inclusive workforce that fosters mutual respect for our employees and the communities we serve. Q2 is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Tags: Airflow Architecture AWS AWS Glue Azure Banking CI/CD Computer Science Databricks Data pipelines Data warehouse dbt DevOps Docker Engineering FinTech Git GitHub GitLab Golang Kubernetes Pandas Pipelines PostgreSQL PySpark Python SageMaker Snowflake Spark SQL

Perks/benefits: Career development Flex hours Flex vacation Health care Insurance Parental leave Startup environment Wellness

Region: Asia/Pacific
Country: India

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