Data Engineer
Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
4-5years
USD 3 - 3
1 Vacancy
Job Description
Este es un puesto de trabajo remoto.
USD 3K - 3.2K/month.
Remote (anywhere).
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 Apache Spark and Python.
- English - Native or fully fluent.
- Spanish - Conversational.
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
- Were 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.
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.
Employment Type
Full Time
