8 of 8 Apache Spark Jobs in the East Midlands

scale data handling Integrating data from various sources to enable effective analysis Utilizing programming languages such as Python, Java, or SQL, and tools like Apache Spark or LakeFS for data processing and management Required technical and professional expertise Python, SQL, JSON, LakeFS Useful but not essential: R, Apache Spark We welcome applications from individuals of all backgrounds. To be eligible, you must have the right to work in the UK, be a resident in the UK, and have lived continuously in the UK for the past 10 years. We do not offer visa sponsorship and cannot More ❯

and BI solutions. Ensure data accuracy, integrity, and consistency across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development More ❯

data systems Expertise in cloud-based data platforms (AWS, Azure, Google Cloud) and distributed storage solutions Proficiency in SQL, NoSQL, and data processing frameworks (Spark, Databricks, Snowflake) Good knowledge of data governance, privacy regulations, and security best practices Experience with modern data architectures, including data lakes, data mesh, and More ❯

proposal development Experience in Data & AI architecture and solution design Experience working for a consultancy or agency Experience with data engineering tools (SQL, Python, Spark) Hands-on experience with cloud platforms (Azure, AWS, GCP) Hands-on experience with data platforms (Azure Synapse, Databricks, Snowflake) Ability to translate clients business More ❯

Significant experience of programming using Scala and Python Experience of using Terraform to provision and deploy cloud services and components Experience of developing on Apache Spark Experience of developing with AWS cloud services including (but not limited to) AWS Glue, S3, Step Functions, Lambdas, EventBridge and SQS BDD More ❯

data science techniques , including regression, classification, and machine learning. Experience with deep learning or generative AI is a plus but not essential. Proficiency in (Spark)SQL and Python . Experience with PySpark is beneficial but not required. Experience designing and implementing robust testing frameworks . Strong analytical skills with More ❯

take the platform to the very next level. You'll be able to hit the ground running in Databricks and ideally have knowledge of Apache Spark. Naturally you'll have sound SQL exposure and AWS from a Cloud perspective. Pyspark would be hugely advantageous to this position too. The More ❯

home. Bring your energy. Play to your strengths. Make things bigger and better than before. What we're looking for Strong knowledge of Python, Spark and SQL and experience with relational and NoSQL databases. Knowledge of data preprocessing and feature engineering. Advanced expertise in Spark to be able More ❯