Databricks Data Engineer @ Link Group

Required Skills & Experience 5–8 years of hands-on experience in data engineering or similar roles. Strong knowledge of AWS services such as S3, IAM, Redshift, SageMaker, Glue, Lambda, Step Functions, and CloudWatch. Practical experience with Databricks or similar platforms (e.g., Dataiku). Proficiency in Python or Java, SQL (preferably Redshift), Jenkins,...

Desired Background 4+ years of experience as a Data Engineer in cloud-focused projects. Proven success in designing and maintaining large-scale data infrastructure in GCP. Advanced English communication skills, both written and spoken. Nice to Have Professional certifications in GCP or big data technologies. Practical experience with BI platforms (e.g.,...

4+ years of experience in Azure and 5+ of industrial experience in the domain of large-scale data management, visualization and analytics; Hands-on knowledge of the following data services and technologies in Azure (for example Databricks, Data Lake, Synapse, Azure SQL, Azure Data Factory, Azure Data Explorer); Good understanding of Azure as a platform;...

Azure Databricks (PySpark, Spark SQL; Unity Catalog; Jobs/Workflows). Azure data services: Azure Data Factory, Azure Key Vault, storage (ADLS), fundamentals of networking/identities. Python for data engineering (APIs, utilities, tests). Azure DevOps (Repos, Pipelines, YAML) and Git-based workflows. Experience operating production pipelines (monitoring,...

For our client, we are looking for a specialist with at least 2 years (mid) or at least 5 years (senior) of experience working with Databricks  to join the client's project team, who will: work autonomously once business logic and requirements are defined, deliver solutions that are testable, maintainable, and resilient, actively communicate any issues,...

4+ years of experience in AI, Machine Learning, or Data Engineering. Strong programming skills in Python and experience with libraries for AI/ML. Hands-on experience with LangChain or similar frameworks for LLM applications. Solid understanding of cloud technologies (Azure, AWS, or GCP). Experience integrating APIs and deploying production-grade AI systems....

Requirements 3+ years of experience in data platforms/warehousing/lakes: source integration, pipeline development, and analytics. Strong experience with Python (e.g. pandas) for scripting and data processing. Excellent SQL skills, preferably Postgres and SQL Server (T-SQL). Familiarity with AWS services (S3, EC2, Glue). Experience with iPaaS tools (SnapLogic...

To thrive and succeed, you are expected to have: Bachelor’s degree in computer science, engineering, or a related field, complemented by experience in data engineering. A master’s degree is preferred Extensive experience with Git and managing version control in a collaborative environment Proven track record of implementing and managing CI/CD pipelines...

Strong background in Python and Django. Experience with AWS services and cloud-based development. Proficiency with Docker, Kubernetes, and CI/CD tools. Knowledge of PostgreSQL, DynamoDB, and solid data modeling practices. Strong problem-solving abilities and communication skills. Curiosity and adaptability with a willingness to learn new technologies. (Nice...

5+ years of hands-on Python experience, with strong skills in system design and optimization. Deep knowledge of back-end frameworks (e.g., Django, FastAPI, Flask). Practical experience with generative AI, testing AI agents, and flexibility across models/frameworks. AWS expertise, particularly with Amazon Connect and Amazon Lex. Strong background in designing...