Data Engineer (Databricks)

Experience in data engineering, with hands-on Databricks expertise. Strong experience in Python for automation and data transformation. Experience working with at least one major cloud platform (AWS, Azure, or GCP). Strong communication skills and strong English language skills. ✔️Nice-to-Have: Solid understanding of SQL with experience in query optimization and data modeling. Familiarity with DevOps methodologies, CI/CD pipelines, and Infrastructure as Code (Terraform, Bicep). Experience with real-time data streaming technologies such as Kafka or Spark Streaming. Knowledge of cloud storage solutions like Data Lake, Snowflake, or Synapse. Hands-on experience with PySpark for distributed data processing. Relevant certifications such as Databricks Certified Data Engineer Associate or cloud-based data certifications. 🔹 For our Client we are looking for Senior Databricks Data Engineer🔹 Possible location in Poland : 100% remote ✔️About Insights and Data Insights & Data is a thriving team of over 400 professionals focused on delivering advanced data-driven solutions. Our expertise lies in Cloud & Big Data engineering, where we build scalable architectures for processing large and complex datasets across AWS, Azure, and GCP. We manage the entire Software Development Life Cycle (SDLC), leveraging modern data frameworks, programming methodologies, and DevOps best practices to create impactful and efficient solutions. ,[Design and implement data processing solutions using Databricks for large-scale and diverse datasets., Design, build, and enhance data pipelines with Python and cloud-native tools., Work closely with solution architects to define and uphold best practices in data engineering., Ensure data consistency, security, and scalability within cloud-based environments.] Requirements: Databricks, Python, Data engineering, Cloud platform, Azure, SQL, Data modeling, DevOps, CD pipelines, Infrastructure as Code, Bicep, Kafka, Cloud, Snowflake, PySpark, Terraform