Data Engineer building and maintaining Azure data platforms for Hultafors Group's analytics and reporting needs. Collaborating across various business functions in a cloud environment.
About the role
- Data Engineer tasked with designing ETL pipelines and supporting analytics initiatives at Mod Op. Collaborate on data integration and visualization using modern data tools and platforms.
Responsibilities
- Data Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines in GCP, Azure & AWS using various services including Data Flow, Composer, Azure Synapse, AWS Data Pipelines and etc.
- Data Integration: Work with structured and unstructured data sources, including CRM and marketing data platforms.
- Database Management: Develop and optimize queries for SQL & NoSQL databases (Teradata, BigQuery, Cassandra, etc.).
- Data Science & ML: Implementing Models using GCP Vertex ai and utilizing Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.) for data analysis and ML model deployment.
- Data Visualization: Build and manage dashboards using Google Looker and Tableau to provide business insights.
- Collaboration: Work closely with data analysts, marketing teams, and other stakeholders to understand business needs and implement effective data solutions.
Requirements
- Cloud Expertise: GCP or AWS (Data Engineering or ML focus) experience.
- Programming Skills: Strong proficiency in Python and experience with its data science libraries.
- Database Management: Experience with SQL (Teradata, BigQuery, etc.) and NoSQL databases.
- Data Visualization: Hands-on experience with Google Looker and Tableau for reporting and dashboards.
- CRM & Marketing Data: Experience working with CRM, marketing platforms, and analytics tools.
- Machine Learning Knowledge: working GCP/Azure/AWS Services with ML workflows, model training, AI Models and deployment.
- Data Automation & Transformation: Knowledge with Alteryx for workflow automation and data preparation.
- Preferred Qualifications:
- Experience with data warehousing solutions (Snowflake, Redshift, etc.).
- GCP Certified focused on Data Engineering.
- Exposure to Apache Spark, Airflow, or other data orchestration tools.
- Strong understanding of data governance, security, and compliance.
Benefits
- Health and Life Insurance for employees and family, access to Vision benefits, Telemedicine services, Psychology support and others.
- On the job training and career growth opportunities.
- Access to LinkedIn courses.
- Fully remote job.
- Talented team environment, collaborative offices, fun company culture with a great balance of work and play.
- Vacations are granted by day or weeks according to employee approved request.
- Salary with yearly review and competitive benefits.
- Competitive compensation based on experience and skill set.
Job title
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Degree requirement
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