Science, Engineering, or a related field (or equivalent experience). 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines 3+ years of proficiency in working with Snowflake or similar cloud More ❯
Glasgow, Scotland, United Kingdom Hybrid/Remote Options
NLB Services
months with possible extensions (No Sponsorship Available ) Skills/Qualifications: · 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. · 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines · 3+ years of proficiency in working with Snowflake or similar cloud More ❯
data governance, security, and access control within Databricks. • Provide technical mentorship and guidance to junior engineers. Must-Have Skills: • Strong hands-on experience with Databricks and Apache Spark (preferably PySpark). • Proven track record of building and optimizing data pipelines in cloud environments. • Experience with AWS services such as S3, Glue, Lambda, Step Functions, Athena, IAM, and VPC. • Proficiency More ❯
data governance, security, and access control within Databricks. Provide technical mentorship and guidance to junior engineers. Must-Have Skills: Strong hands-on experience with Databricks and Apache Spark (preferably PySpark). Proven track record of building and optimizing data pipelines in cloud environments. Experience with AWS services such as S3, Glue, Lambda, Step Functions, Athena, IAM, and VPC. Proficiency More ❯
data engineering, Python development, and cloud-native architecture. YOUR PROFILE Design, develop, and maintain robust data pipelines and ETL workflows using AWS services. Implement scalable data processing solutions using PySpark and AWS Glue. Build and manage infrastructure as code using CloudFormation. Develop and deploy serverless applications using AWS Lambda, Step Functions, and S3. Perform data querying and analysis using More ❯
company for the duration of the contract. You must have several years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will also have a number of years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines. ETL process expertise is essential. More ❯
profiling, ingestion, collation and storage of data for critical client projects. How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql). Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery. As a Data Engineering Manager, you will More ❯
