Data Engineer
4 days ago
About Insights & Data:
Our team is a dynamic and innovative group of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across top cloud providers. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions.
Your Profile:
- Experience in data engineering with a strong focus on Azure, including at least one year of hands-on experience.
- Proficient skills in Python for data processing and automation.
- Hands-on experience with Databricks, Snowflake, or Microsoft Fabric.
- Excellent communication skills and strong English language proficiency.
Nice-to-Have:
- Advanced SQL skills and experience with database optimization.
- Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools like Terraform and Bicep.
- Familiarity with key Azure services: Data Lake, Event Hub, Data Factory, Synapse Analytics, and Azure Functions.
- Exposure to containerization technologies such as Docker and Kubernetes, as well as cloud security best practices.
- Experience in real-time data processing and streaming technologies like Apache Kafka or Spark Streaming.
- Hands-on experience with PySpark.
- Certifications such as DP-900, DP-203, AZ-204, or AZ-400 are highly valued.
Key Responsibilities:
- Design and implement Azure-based data solutions for large-scale and unstructured datasets.
- Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake.
- Collaborate with solution architects to define and implement best practices in data engineering.
- Ensure data quality, scalability, and security across all Azure-based solutions.
Requirements:
- Azure
- Data engineering
- Python
- SQL
- Azure Data Factory
- Azure Synapse Analytics
- Docker
- Kubernetes
- CI/CD
What We Offer:
- Opportunities for professional growth and development
- A collaborative and dynamic work environment
- Flexible working arrangements
- Training budget
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