Big Happy

Delivers geo-targeted mobile ads for brands

Senior Data Engineer

Data EngineeringUpdated on Nov 14

Full-timePanchkula, Haryana, IndiaNo salary listed

About the Job

Requirements

A bachelor's degree with at least 5 years of related work experience, or an advanced degree with at least 3 years of related experience, is required; degrees in Computer Engineering, Computer Science, or a related subject area are strongly preferred.
At least 4 years of experience developing cloud solutions using data series and Amazon Web Services is required.
At least 4 years of hands-on experience developing and migrating data to cloud platforms is required.
At least 4 years of experience with SQL and/or relational database design and development is required.
Advanced knowledge and experience building complex data pipelines with Python, with experience in languages such as SQL and/or DAX, is required.

Responsibilities

Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.
Design and develop data architectures to ensure scalable data infrastructure.
Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights.
Contribute to team knowledge sharing and advance new data engineering capabilities.
Assist management in project definition, including estimating, planning, and scoping work to meet objectives.

Desired Qualifications

Experience in ad tech or related fields is a plus.

Big Happy is looking for a Senior Data Engineer to join its growing Data Insights Group. This role is essential for designing and developing data architectures across platforms to support organizational data needs.This role will need to analyze, architect, design, and develop data warehouse and business analytics solutions. Success is measured by the effectiveness of data engineering solutions and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights.

NOTE:

Candidates must be open to work within USA time zones EST/EDT and PST/PDT hours.

Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements
Design and develop data architectures to ensure scalable data infrastructure
Perform data wrangling, exploration, and discovery of heterogeneous data to generate new business insights
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
Assist management in project definition, including estimating, planning, and scoping work to meet objectives

Must-Have Skills

Bachelor's Degree with 5+ years of related work experience OR Advanced degree with 3+ years of related experience (Required); strong preference for degrees in Computer Engineering, Computer Science, or a related subject area.
4+ years Developing cloud solutions using data series; experience with Amazon Web Services (Required).
4+ years Hands-on development using and migrating data to cloud platforms (Required).
4+ years Experience in SQL, and/or relational database design and development (Required).
4+ years Advanced knowledge and experience in building complex data pipelines with Python with experience in languages such as SQL and/or DAX Python.
Experience in ad tech or related fields a plus.

About the Company

Big Happy

Delivers geo-targeted mobile ads for brands

Big Happy creates engaging, fast mobile ads for brands across media, casual dining, CPG, and sports networks. Its ads use geo-targeted creative strategies to drive actions such as learning more about a product, adding items to a cart, or visiting physical stores, including activating ticket sales and promoting offers. The product works by providing creative services and campaign deployment, delivering tailored creative assets quickly and targeting users based on location to maximize impact. The company differentiates itself with a focus on fun, rapid delivery, and a team of media buyers and mobile ad tech experts who push the boundaries to achieve performance. Its goal is to raise engagement and deliver measurable results for brands, publishers, and consumers by making mobile advertising more enjoyable and effective.

Company size: 51-200
Company stage: Series A
Total funding: $2.7M
Headquarters: New York City, United States
Founded: 2019

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