Compensation:
USD 3K - 3.2K/month.
Location:
Remote (for México, Guatemala, Colombia, Honduras, Perú, Chile, Argentina, Paraguay, Brasil, Jamaica, República Dominicana, Belice, España, Egipto, Kenya, South Africa, India, and Filipinas residents).
Mission of Softgic:
In Softgic S.A.S. we work for the digital and cognitive transformation of our clients, aware that quality is an essential factor for us, we incorporate the following principles into our policy:
- Deliver quality products and services.
- Achieve the satisfaction of our internal and external clients.
- Encourage in our team the importance of training to grow professionally and personally through development plans.
- Comply with the applicable legal and regulatory requirements.
- Promote continuous improvement of the quality management system.
What makes you a strong candidate:
- You have 4+ years of experience in data engineering.
- You are proficient in data transformation, data warehousing, Python, and Apache Spark.
- English - Native or fully fluent.
- Spanish - Conversacional.
Responsibilities and more:
- Design, build, and maintain scalable data streaming platforms and data warehouses to support product data foundations.
- Collaborate with development teams to deliver reliable, high-performance data solutions.
- Implement and optimize ETL pipelines and complex data transformations.
- Work with Databricks, Spark, and programming languages (Scala or Python) to process and analyze large-scale datasets.
- Ensure data accuracy, consistency, and security across systems.
- Contribute to performance tuning, troubleshooting, and improving data workflows.
- Partner with cross-functional teams to define data requirements and deliver business insights.
Requisitos
- 4+ years of experience as a Data Engineer.
- Strong experience coding in Scala or Python.
- Hands-on experience with Databricks.
- Solid knowledge of Apache Spark and distributed data processing.
- Experience with data warehousing and data streaming platforms.
- Knowledge of Python Spark libraries (e.g., PySpark) for data querying and transformations.
- Proven ability to design and implement complex data transformations.
- Familiarity with Snowflake (a plus).
- Strong problem-solving, analytical, and communication skills.
Ventajas
- We're certified as a Great Place to Work.
- Opportunities for advancement and growth.
- Paid time off.
- Formal education and certifications support.
- Benefits with partner companies.
- Referral program.
- Flexible working hours.