Staff Data Engineer

Year    Remote, IN, India

Job Description

Our Mission


Swapcard is the leading AI-powered event platform designed to drive revenue growth and foster meaningful connections at in-person and hybrid events. We recognize the importance of teamwork in successful events; that's why Swapcard is fueled by a team of innovators who are passionate about helping organizers build future-proof events.

Our Vision


At Swapcard, we believe in the power of meaningful connections. This belief fuels our commitment to pioneering modern solutions that empower organizers to create engaging event experiences.
Guided by our commitment to excellence and collaboration, we aim to redefine the landscape of event technology, setting new standards for engagement, accessibility, and impact.

Our Beliefs


At Swapcard, diversity is at the core of our success. With 42 nationalities represented among our 180+ team members, we champion diversity as a catalyst for creativity, collaboration, and unparalleled innovation.

We believe that by embracing a multitude of backgrounds, cultures, and viewpoints, we can truly understand and cater to the needs of our global community of event organizers and participants.
Our full remote opportunities empower our team to thrive, no matter where they are in the world, fostering a culture of flexibility and inclusion.

As the Staff Data Engineer, you will play a pivotal role in designing and building robust, efficient data pipelines to process large volumes of data from internal databases and SaaS applications.



You will be responsible for:

Designing and implementing data pipelines:

Build scalable and maintainable data pipelines using tools such as Fivetran, Airbyte, or Python, ensuring that data is efficiently moved from various sources to our cloud data warehouse.

Data

transformation and modeling:

Develop and optimize transformation models using tools like DBT, Redshift, and Dagster, ensuring high-quality and timely data for analysis.

Cloud

Data Warehouse Management:

Oversee the management and optimization of our Redshift data warehouse, ensuring smooth operations and data integrity.

Monitoring

and troubleshooting:

Continuously monitor the data pipelines and infrastructure, ensuring uptime, quality, and the timely availability of data for decision-making.

Team

Collaboration:

Collaborate cross-functionally with stakeholders (ML team, Infra team, Growth team, ...), and business teams to address their data engineering needs and deliver impactful solutions.

Setting

Data Engineering Standards:

Define, enforce, and improve data engineering standards, best practices, and processes across the organization.

Documentation

:

Create and maintain detailed documentation for pipelines, data models, and architecture to ensure transparency and knowledge sharing within the team and organization.###

What You Should Have:



10+ years of hands-on experience

in data engineering, building scalable and reliable data systems in production environments.

4+ years of experience with DBT

, implementing, optimizing, and managing transformation pipelines in DBT for cloud data warehouses.

5+ years of experience with Redshift

, managing, optimizing, and troubleshooting Redshift in AWS.

Advanced

SQL skills

and a deep understanding of data warehousing principles, including performance tuning, indexing, partitioning, and query optimization.

Proven

experience in ETL processes

, from extracting data from various sources, transforming it, and loading it into cloud-based data warehouses.

Experience

with data orchestration tools

such as Airflow, Dagster, or Prefect, to design and manage data workflows.

Hands-on

experience with Python

for building custom data processing scripts and automation.

Data

Governance:

Establish and enforce data governance standards across the organization, ensuring data quality, consistency, security, and compliance. Collaborate with data privacy and legal teams to ensure that all data practices meet regulatory requirements.

Setting

Data Engineering Standards:

Define, enforce, and improve data engineering standards, best practices, and processes across the organization.

Fluency

in English

(both written and verbal).

Bonus Points:

Experience working with other

AWS

services such as S3, Lambda, etc. Expertise in

Dagster

as an orchestration tool for data workflows.Experience with

data visualization tools

like Tableau, helping to bridge the gap between engineering and business teams. Experience with

Infra tools

such as Docker, Terraform, and Helm, enhancing the scalability and portability of our data infrastructure.

Swapcard's Interview process


Our thorough interview process aims to identify exceptional talent to advance our mission while offering you a chance to explore your career potential at Swapcard.

1. Screening Interview with a recruiter from our people team.
2. A remote exercise to demonstrate and assess your skills.
3. Manager review with your future reporting manager
4. Leadership review with one of our department leaders
5. Reference check conducted by our people team
6. Offer

Swapcard's Values

uD83EuDDE0 Curious

: We ask questions and try new things. We embrace new experiences and love to learn from others. We are curious about what something is and WHY something is.

uD83DuDC7D Open-minded

: We welcome change as well as ideas and feedback from others. We welcome people as they are and learn from each other's personal and professional experiences.

?? Human

: No masking who we are. Empathy encourages a down-to-earth environment where we all feel comfortable and free to be human. Creating bonds makes it easier to share ideas, give feedback, and ask for help.

? Resilient

: Our challenges in life have only made us stronger and wiser. We prefer the term "experiment" over "failure" because we always keep trying. We are solution-oriented and find innovative approaches to succeed.

uD83CuDFC5 Ambitious:

Nothing is impossible. We're always striving to get better, seize opportunities, and reach the top. We are encouraged to dream big and believe in ourselves.

Benefits & Reasons to Join Swapcard

International team with 40+ nationalities (more on the way!) uD83CuDF0D Remote-first policy with headquarters in Paris uD83DuDDFC Thriving startup with career growth opportunities uD83EuDEB4 Open-minded culture that appreciates differences uD83DuDC7D Feedback-driven, supportive & curious team with a DIY mindset uD83EuDD14 uD83DuDEE0 Generous Paid Time Off to ensure you have time for what matters most ??uD83CuDFE1 Remote perks designed to optimize your working experience uD83CuDF81 In-person social gatherings to celebrate our achievements uD83CuDFDD? 100% of your health insurance contribution paid by Swapcard uD83CuDFE5 Work-from-home budget (one-off contribution for equipment in addition to your initial equipment setup) uD83DuDD87? Co-working space budget to support remote work in professional environments uD83DuDCBC Learning budget to help you develop new and existing skills uD83EuDD13 Mental health care initiatives to support your well-being uD83EuDDD8

Equal Opportunity


Swapcard is committed to upholding equal employment practices and making merit-based employment decisions. We welcome individuals from all backgrounds, abilities, and experiences to apply, regardless of race, nationality, religion, sexual orientation, gender identity, pregnancy status, age, marital status, and status as a veteran

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Job Detail

  • Job Id
    JD3714573
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Contract
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Remote, IN, India
  • Education
    Not mentioned
  • Experience
    Year