7 of 7 Remote/Hybrid Spark SQL Jobs

considering: We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines … support code reviews, design reviews, and engineering best practices. Your Skills: Strong hands-on experience with Databricks on AWS. Strong experience with Apache Spark/PySpark. Excellent programming skills in Python. Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization. Experience with ...

solutions. Create and maintain technical documentation, standards, and knowledge repositories. Your Profile: Essential skills/knowledge/experience Strong proficiency in Python, PySpark, Spark SQL, DataFrame APIs, Structured Streaming, and Java. Experience developing and maintaining large-scale data processing and mastering pipelines using PySpark. Strong experience … GitLab CI, Azure DevOps, or similar. Experience working with YAML and JSON configuration files and Infrastructure-as-Code concepts. Strong experience with Spark for large-scale data processing using DataFrames, RDDs, and Spark SQL. Hands-on experience developing ETL workflows, lakehouse solutions, dataflows, pipelines, and semantic ...

experience designing canonical data models or enterprise logical data models. Strong understanding of data modelling techniques, including conceptual, logical and physical modelling. Strong SQL skills and ability to interrogate complex relational data structures. Experience working with cloud data platforms, ideally AWS and Databricks. Understanding of modern data architecture … platforms. Experience with regulatory, client or operational reporting. Experience supporting data migration, legacy system modernisation or platform replacement. Experience with Databricks, Delta Lake, Spark SQL or PySpark. Experience defining validation frameworks, data quality dashboards or metadata-driven rule engines. Experience working in consultancy or client-facing ...

ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python-based transformations to support scalable data pipelines and optimise performance across Lakehouse … reports, dashboards, and visualisations. Troubleshoot database-related issues. Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies. Conduct regular reviews of SQL code and queries for performance improvements Ensure data security and integrity. Stay updated with the latest database technologies and best practices. Data Warehouse Implement ...

7+ years Databricks solution design, implementation, engineering experience required Either 5+ years building data pipelines in Databricks using PySpark, Scala and/or Spark SQL and ability to work across structured, semi-structured and unstructured data OR 5+ years ML Engineering or AI Engineering deploying, promoting ...

leading delivery teams. Strong experience designing and delivering cloud-native data platforms within Azure and/or AWS environments. Advanced experience with PySpark, SparkSQL and large-scale distributed data processing. Strong understanding of modern data architecture, ETL/ELT frameworks and data modelling. Excellent SQL skills and experience ...

focused on data platforms, analytics engineering and Lakehouse solutions. You will design, build and support enterprise-scale data platforms with Spark, PySpark, SparkSQL and Microsoft Fabric. The role requires hands-on coding, data governance, ingestion and API integration capabilities, plus a passion for modern analytics and low-code ...