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Senior Data Engineer
4 weeks ago
ABOUT APPLY DIGITAL :
Apply Digital is a global digital transformation partner for change agents. Leveraging expertise that spans Business Transformation Strategy, Product Design & Development, Commerce, Platform Engineering, Data Intelligence, Change Management, and beyond, we enable our clients to modernize their organizations and deliver meaningful impact to the business and to their customers. Whether they are beginning, accelerating or optimizing, we help enterprise businesses implement composable tech as part of their digital transformation journey. We leverage our rich experience in building smart products and using AI tools to drive value.
Our 650+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Atlassian, Sony, American Express, and Harvard Business School.
Apply Digital was founded in 2016 in Vancouver, Canada. In the past nine years, we have grown to nine cities across North America, South America, the UK, and Europe. We have always had aspirations to build a delivery hub in India, and we are excited to launch a new office in Delhi NCR.
At Apply Digital, we believe in the "One Team" approach, where we operate within a 'pod' structure. Each pod brings together senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. This structure is underpinned by well-oiled scrum and sprint cadences, keeping teams in step to release often and retrospectives to ensure we progress toward the desired outcomes.
Wherever we work in the world, we envision Apply Digital as a safe, empowered, respectful and fun community for people, every single day. Together, we work to embody our SHAPE (smart, humble, active, positive, and excellent) values and make Apply Digital a space for our team to connect, grow, and support each other to make a difference.
Visit our Careers page to learn how we can unlock your potential.
LOCATION : Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) the Delhi/NCR region of India, working in hours that have an overlap with the Eastern Standard Timezone (EST).
ABOUT THE CLIENT :
- Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
- Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
- Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
- Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
- Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
- Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
- Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
- Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
- Stay up to date with emerging data engineering technologies and best practices, continuously improving our data WE'RE LOOKING FOR :
- Strong proficiency in English (written and verbal communication) is required.
- Experience working with remote teams across North America and Latin America, ensuring smooth collaboration across time zones.
- 5+ years of experience in data engineering, with expertise in building scalable data pipelines and cloud-native data architectures.
- Strong proficiency in SQL for data modeling, transformation, and performance optimization.
- Expertise in Python for data processing, automation, and pipeline development.
- Experience with cloud data platforms, particularly Google Cloud Platform (GCP).
- Hands-on experience with Google BigQuery, Cloud Storage, and Pub/Sub.
- Strong knowledge of ETL/ELT frameworks such as DBT, Dataflow, or Apache Beam.
- Familiarity with workflow orchestration tools like Dagster, Apache Airflow or Google Cloud Workflows.
- Understanding of data privacy, security, and compliance best practices.
- Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
- Excellent communication and collaboration TO HAVES :
- Experience with real-time data streaming solutions (e.g., Kafka, Pub/Sub, or Kinesis).
- Familiarity with machine learning workflows and MLOps best practices.
- Experience with BI and data visualization tools (e.g., Looker, Tableau, or Google Data Studio).
- Knowledge of Terraform for Infrastructure as Code (IaC) in data environments.
- Familiarity with data integrations involving Contentful, Algolia, Segment, and AT APPLY DIGITAL :
At Apply Digital, people are at the core of everything we do. We value your time, safety, and health, and strive to build a work community that can help you thrive and grow. Here are a few benefits we offer to support you:Location : Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) Delhi/NCR, with the ability to overlap with the US/NA times zones when required.
Comprehensive Benefits : benefit from private healthcare coverage, contributions to your Provident fund, and a gratuity bonus after five years of service.
Vacation policy : work-life balance is key to our team's success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.
Great projects : broaden your skills on a range of engaging projects with international brands that have a global impact.
An inclusive and safe environment : we're truly committed to building a culture where you are celebrated and everyone feels welcome and safe.
Learning opportunities : we offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support
Apply Digital is committed to building a culture where differences are celebrated, and everyone feels welcome. That's why we value equal opportunity and nurture an inclusive workplace where our individual differences are recognized and valued. (ref:hirist.tech)