About this opportunity:
Ericsson’s Data and Automation Chapter is seeking a highly motivated and self-driven Data Engineer with experience in building and optimizing cloud-based data pipelines using Snowflake and Python/PySpark. Qualified candidates will contribute to scalable data platforms that enable cloud-native analytics and reporting solutions. You will be part of a high-performing engineering team focused on cloud data transformation and enablement. You are adaptable and a flexible problem-solver with strong cloud engineering expertise, scripting skills, and the ability to pivot across multiple data initiatives with speed and precision.
What you bring:
- Design, build, and optimize data pipelines using Snowflake, ensuring efficient and reliable data flow.
- Develop transformation logic using Python or PySpark for structured and semi-structured data.
- Enable cloud-based reporting and analytics by providing curated and scalable datasets.
- Collaborate with analysts, architects, and business teams to gather requirements and implement data solutions.
- Automate workflows and implement data validation, lineage, and quality checks.
- Tune SQL and transformation logic for performance and cost efficiency within cloud environments.
- Participate in code reviews, technical documentation, and DevOps workflows using CI/CD practices.
- Ensure adherence to data governance, privacy, and security standards.
Experience:
- 4+ years of experience in cloud-based data engineering.
- Strong expertise in Snowflake including data modeling, performance tuning, and SQL scripting.
- Proficiency in Python or PySpark for data transformation, scripting, and orchestration.
- Hands-on experience with cloud platforms like AWS, Azure, or GCP.
- Familiarity with data lake architecture, CI/CD pipelines, and Git-based workflows.
- Experience working in Agile environments with exposure to collaborative tools and project management practices.
- Knowledge of BI/reporting enablement and downstream data consumption use cases.
- Strong communication skills and a problem-solving mindset.
Education
- Bachelor’s degree in computer science, Data Engineering, Information Technology, or a related field.