Data Engineer

Bengaluru, India

Q2

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

View company page

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.

Come join one of the most talented and fastest growing Data Engineering & Platform teams in Q2-Helix where there is no end to the learning opportunities available to you. This is a “hands-on” position requiring very effective technical skills, leadership skills as well as good interpersonal and communication skills.

  • Work on software development (data) projects within different disciplines which influences multiple areas of the business
  • Work closely with the product manager, business analyst, and architect to develop the technical design and solutions
  • Analyze, code, test, implement, and update existing or new data engineering solutions
  • Collaborate with other team members and provide the tangible end-product
  • Work collectively with the product owner, program leadership, and others and support them in resolving hitching issues
  • Plan your development tasks accordingly to improve and grow your performance bar considerably
  • coordinate activities of team personnel
  • Work with teams to implement a modern data platform engineering deliverables aligned to our customer needs
  • Develop/design data models, data flows, and integration patterns for the data systems, like data warehouse, databases, data lake, and usage data layers.
  • Collaborate with fellow data engineers and other architects in building and developing conceptual, logical, and physical models

  • Bachelor’s degree in (relevant degree) and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
  • Experience in development of data warehousing, or Lake House Architecture or relevant experience (Snowflake, Microsoft SQL Server)
  • Experience with JIRA
  • Design scalable solution strategies to support batch, near real time and streaming data integration with new and existing tools/technologies architecture
  • Understand the role of data, domain, and ontology modelling in the building of scalable end-user facing applications.
  • Technical proficiency with standards-based data engineering tools
  • Deep understanding of Microsoft Azure cloud and its data platforms offerings
  • Have a passion for learning new technologies in space.
  • Experience working with data warehouses solutions such as DW, or Snowflake and understanding of data architecture design
  • Experience with ETL / ELT & relevant tools like Azure Data Factory, DBT,
  • Experience with Airflow scheduler
  • Experience in Python, and equivalent modeling language

This position requires fluent written and oral communication in English.

Health & Wellness

  • Hybrid & Remote Work Opportunities                                                                  

  • Flexible Time Off

  • Career Development & Mentoring Programs

  • Generous Retirement Benefit Plans, including a company-matching HSA program.

  • Health & Wellness Benefits, including a 12-weeks of parental leave for eligible new parents

  • Community Volunteering & Company Philanthropy Programs

  • Employee Peer Recognition Programs – “You Earned it”

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.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Architecture Azure Banking Data warehouse Data Warehousing dbt ELT Engineering ETL FinTech Jira Python Snowflake Spark SQL Streaming

Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave Team events Wellness

Region: Asia/Pacific
Country: India
Job stats:  2  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.