Engineering Manager, Data Analytics, Bangalore
Bangalore, Karnātaka, India
Verve Group
Advertisers and publishers make a bigger impact with Verve’s ad solutions, backed by responsible media and teams of experts.Who We Are
Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data, media, and technology together to deliver results and growth to both advertisers and publishers–no matter the screen or location, no matter who, what, or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers, Verve’s solutions are trusted by more than 90 of the United States’ top 100 advertisers, 4,000 publishers globally, and the world’s top demand-side platforms. Learn more at www.verve.com.
Who You Are
Join our Data Analytics team at Verve, where you'll oversee the architecture supporting our ad exchanges' data, processing millions of requests per second at terabyte scale. You’ll ensure low-latency, cost-efficient data access and support engaging UI/UX experiences for BI, analytics, and data science applications.
Key responsibilities include feature development, performance tuning, and maintaining platform stability. Our mission is to enable "data-driven decisions at your fingertips," and you’ll play a pivotal role in providing the system for all business decisions. This hands-on role (70% engineering, 30% management) reports to the VP of Data Intelligence Platforms. You'll drive technology advancements while leading and mentoring your team.
What You Will Do
Lead and Manage
This role is 70% hands on, enhancing and supporting data analytics components
Lead and manage a team of on-site and remote engineers
Do performance reviews
Define team charter, budgets, and hiring plan
Domain
In this role, your main focus would be around data warehouses to provide users efficient insights into our ad tech platform
Ensure efficient and flexible data schema
Ensure engine performance and reliability
Efficient SQL-based transformations
Cost-efficient analytical solutions
Writing simple, understandable, testable, and efficient code with a focus on solid technical stability and great user experience
Ensuring compliance with industry standards and regulations in terms of security, and data privacy applied in the data processing layer
Defining and implementing security measures according to best practices
Collaborative Work
Work closely with product and reporting teams to provide accurate on-time and organize fast and easy access to them
Design end-to-end DWH solutions, working closely with the data processing and data science engineering teams
Ability to articulate business requirements and bridge the gap between development teams and stakeholders
Ability to present business and technical issues, ideas, and recommendations in verbal, written, and presentation formats using storytelling and logical arguments
Collaborate with teams across the globe in different time zones
Extend successful solutions and optimization to sister companies in Verve
Collaborating with stakeholders to understand project functional requirements and objectives from a data processing perspective
Requirements
What You Will Bring
5+ years of experience working as a Data/DWH Engineer in industry is a must, where you have gained hands-on experience delivering DWH/OLAP solutions
3+ years of experience leading a small team of highly productive engineers
First experiences in managing individual contributors
Proven experience in owning the products and driving them to the end, all the way from gathering requirements, development, testing, and deployment to ensuring high availability post-deployment
OLAP engine (preferably Vertica, BigQuery), MPP engines(e.g Trino/Presto, Impala, ClickHouse), SQL (understanding plans, troubleshooting, window functions)
Druid
Bachelor's degree in Computer Science or relevant field
Cloud platforms: preferably GCP
Programming languages: Python and/or JVM
Nice to have
BI tools (Looker, Tableau, AWS QuickSight, etc)
AdTech knowledge
ELT/ETL: DBT, Airflow (Apache NiFi)
Open-source committer/contributor / PMC in any of Apache big data open-source technologies
Exposure to Automation, and DevOps (Kubernetes, Jenkins CI/CD pipelines)
What We Offer
Join one of the top privacy-first omnichannel ad platforms and gaming companies
Be part of a multicultural team (55+ nationalities) that is bringing advertising to the next level
Benefit from working with some of the most experienced professionals in our industry and constantly grow with us
You will learn and evolve in an empowering environment characterized by entrepreneurial actions
Responsibility, independence, and an opportunity to participate in projects that have a significant impact on Verve’s success
3 Wellness days per year to help you maintain your well-being (in Q1, Q2 and Q3)
Enhance your professional skills with a yearly training budget and improve your language skills through German and/or English classes.
Work and Travel Program (monthly raffle after 2 years of employment)
We are happy to build a great team together and we appreciate your help through our Employee Referral Bonus
Align your interests with the company's success and take part in our Employee Shares Purchase Plan
You will be entitled to 27 holidays per year in addition to any of the public/bank holidays
Personalized Benefits Platform; with a budget of 100 EUR/month, you can choose the benefits that fit you best from the following options:
Internet allowance
Mobility allowance such as BVG/HVV tickets and car/bicycle rental
Kindergarten, daycare center subsidy
Sport membership and personal development
Shopping vouchers
Enjoy food and beverage benefits with colleagues and have fun during team events
Take advantage of our Employee offers and discounts
Corporate Pension Scheme
Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS Big Data BigQuery CI/CD Computer Science Data Analytics dbt DevOps ELT Engineering ETL GCP Jenkins Kubernetes Looker MPP NiFi OLAP Open Source Pipelines Privacy Python QuickSight Security SQL Tableau Testing UX
Perks/benefits: Career development Flex hours Salary bonus Startup environment Team events Travel Wellness
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