Senior 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 journeysWhat 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.
We are looking for an experienced Sr. Data Engineer (Senior Power BI Developer) to join our Strategic Ops team. This role will involve developing advanced business intelligence solutions and transforming complex data sets into meaningful insights through interactive dashboards and reports. The ideal candidate will have a strong background in data analytics, business intelligence, and a deep understanding of Power BI and DAX. This role requires excellent communication skills and the ability to work with cross-functional teams to support data-driven decision-making.
Key Responsibilities:
Dashboard & Report Development
- Design and develop advanced, visually compelling, and user-friendly dashboards and reports using Microsoft Power BI.
- Translate business requirements into technical solutions, ensuring alignment with business objectives and user expectations.
- Implement complex DAX calculations and data transformations to support business insights.
Data Modelling and Transformation
- Build and maintain data models optimized for performance and reporting.
- Use Power Query to clean, transform and organize data from multiple sources.
- Work with large, complex data sets to ensure efficient data processing and report loading times.
Data Integration & Source Management
- Connect and integrate Power BI with various data sources (Snowflake, SQL Server, Excel, etc.).
- Collaborate with data engineers to define data architecture and ETL processes for reporting purposes.
- Ensure data integrity, accuracy and security through effective data management practices.
- Drive automation, writing and running scripts, scheduling jobs, fetching data using API calls,
Stakeholder Collaboration
- Work closely with business analysts, data engineers, and other team members to gather requirements and understand reporting needs.
- Conduct regular meetings and presentations with stakeholders to demonstrate report capabilities and gather feedback.
- Support ad-hoc data analysis requests, providing actionable insights based on business needs.
Performance Optimization & Best Practices
- Optimize reports and dashboards for performance and responsiveness, particularly for large data sets.
- Implement row-level security and manage permissions to protect sensitive data and ensure compliance.
- Establish and maintain Power BI best practices, including naming conventions, data organization, and documentation.
Required Qualifications:
- Education: Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field.
- Experience: 5-7 years in business intelligence, data analytics, or related field, with at least 5 years of experience in Power BI development.
- Technical Skills:
- Power BI: Expert-level
- Proficiency in Power BI Desktop, Power BI Service, and Power BI mobile.
- Data Analysis Expressions (DAX): Advanced skills in DAX for complex calculations and data manipulation.
- SQL: Strong SQL skills for querying databases and data manipulation.
- Power Query: Experience in data transformation and ETL tasks.
- Data Modeling: Proficient in data modeling and database design, with a strong understanding of relational databases.
- Soft Skills:
- Strong problem-solving skills with a solution-oriented mindset.
- Excellent communication and collaboration abilities, with experience in presenting findings to technical and non-technical stakeholders.
- Detail-oriented, with a focus on accuracy and consistency in reporting.
Experience with other BI tools such as Tableau, QlikView, or similar.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Banking Business Intelligence Computer Science Data analysis Data Analytics Data management ETL Excel FinTech Power BI QlikView RDBMS Security Snowflake Spark SQL Tableau
Perks/benefits: Career development Flex vacation Health care Insurance Parental leave Wellness
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