Data Engineer
Java, Databricks, ETL, Data Lake, Database Design, Big Data
Description
We are looking for a Data Engineer to join our global workforce. Our dynamic team offers valuable opportunities and a tangible career support system for your professional and personal development.
Who We Are
GSPANN has been in business for over a decade, with over 2000 employees worldwide, and servicing some of the largest retail, high technology, and manufacturing clients in North America. We provide an environment that enables career growth while still interacting with company leadership.
Visit Why GSPANN for more information.
Location: Monterrey or Remote in Mexico
Role Type: Full Time
Published On: 25 June 2024
Experience: 7+ Years
Description
We are looking for a Data Engineer to join our global workforce. Our dynamic team offers valuable opportunities and a tangible career support system for your professional and personal development.
Role and Responsibilities
- Lead the design, development, and maintenance of scalable customer data platform architectures.
- Collaborate with engineers, marketers, and product managers to ensure seamless integration and alignment of the CDP with business objectives.
- Implement robust data pipelines, APIs, and reverse ETL for real-time and batch data processing.
- Identify data sources, build data mappings, and conduct transformational logic between systems to enable data migration.
- Ensure high data quality and adherence to data privacy and security guidelines.
- Evaluate and incorporate new technologies and tools to enhance the capabilities of the CDP, building efficient integration to consume and provide data to third-party platforms.
Skills and Experience
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Minimum of 7 years of experience in software development, focusing on backend engineering and data-intensive applications.
- Strong programming skills in Java.
- 1-2 years of experience implementing any Customer Data Platforms (CDP) such as Segment, RudderStack, Hightouch, or mParticle.
- Proficient in SQL and NoSQL databases.
- Hands-on experience with AWS cloud platforms.
- Ability to collaborate efficiently with cross-functional teams, including product owners, technology teams, and marketing partners.
- Excellent written and oral communication skills.
- Experience with big data technologies such as Kafka, Hadoop, or Spark is desirable.
