Senior Data Engineer

BIG HAPPY; Mohali; Sur place; INR 2 800 000 - 4 600 000; Plein temps

Avantages offerts par ce poste

Flexible Time-Off

Health & Family Support

Performance Bonuses

Relocation Support

Inclusive Culture

Résumé du poste

Big Happy is seeking a Senior Data Engineer to join its Data Insights Group in India. The role focuses on designing and developing data architectures to support data-driven decision making across platforms.

Candidate must be proficient in building data pipelines with Python and SQL, with strong cloud experience (AWS). Applicants should be willing to work in USA time zones (EST/EDT and PST/PDT) and collaborate closely with cross-functional teams.

Qualifications

• Bachelor's or advanced degree with relevant experience in data engineering.
• Strong experience with cloud data solutions and SQL relational design.
• Proven ability to design and build complex data pipelines.

Responsabilités

• Develop data engineering solutions to enable data pipelines and analytics.
• Design scalable data architectures across platforms.
• Perform data wrangling and discovery to generate insights.
• Contribute to team knowledge sharing and advance data capabilities.
• Assist management with project estimation, planning, and scoping.

Connaissances

AWS

SQL

Python

Data pipelines

Cloud data platforms

Formation

Bachelor's Degree with 5+ years

Advanced degree with 3+ years

Description du poste

Senior Data Engineer

Application Deadline: 27 November 2026

Department: Tech Dev

Employment Type: Full Time

Location: India

Description

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.

Key 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 drive the advancement of new data engineering capabilities
• Assist management in project definition, including estimating, planning, and scoping work to meet objectives

Skills, Knowledge and Expertise

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.

Benefits

Flexible Time-Off : At BIG Happy, we believe that great work comes from a well balanced life. Our flexible time-off policy empower employees to manage their schedules effectively, recharge when needed, and maintain a healthy work-life balance without compromising productivity.

Comprehensive Health & Family Support: We prioritize the well-being of our team and their families. Our plans provide health support policies, including maternity benefits, ensure that employees feel supported during important life stages.

Performance-Driven Rewards & Growth: We recognize and reward impact. Through performance bonuses and incentive programs, employees are acknowledged for their contributions and achievements, fostering a motivating environment that supports both personal and professional growth.

Relocation & Seamless Transition Support: Joining us from a different location? We’ve got you covered. Our relocation support and reimbursement policies are designed to make your transition smooth and stress-free, allowing you to focus on settling into your role and new environment.

Inclusive Culture & Collaborative Environment: Our workplace thrives on collaboration, inclusivity, and engagement. From cross-functional 1:1s to team building activities like movie outings, events, and office get-togethers, we ensure every team member feels connected, valued, and empowered to contribute meaningfully.