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Showing 9 jobs
Skills:
Unix, Pyspark, Prometheus, Grafana, Sql, Cloudwatch, Linux, Data Lake, Python, AWS Bedrock, Lakehouse architectures, OpenSearch, CI/CD pipelines
Skills:
Apache Flink, Google Cloud Platform, Data Modelling, Data Warehousing, Database Management Systems, Sql, Spark, Apache Kafka, Databricks, batch and streaming workflows, Airflow, dbt, ETL pipelines
Skills:
database performance tuning , SQL Server Integration Services (SSIS), Views, T-sql, Etl Design, Microsoft Sql Server, Functions, Triggers, Sql, Data Integration, Query optimisation, Stored procedures, SQL Server Agent jobs, Indexing
Skills:
Tableau, Sql, Python, DevOps pipelines, Amazon QuickSight, data pipelines, ETL processes, cloud-based data platforms, BI platforms, CI/CD
Skills:
data engineering , product catalogues , Business Intelligence (Bi) Tools, Version Control Systems, Java, Power Bi, Scala, Information Systems, Data Science, Software Engineering, Databricks, Oracle, Azure DevOps, Feature Engineering, legacy database, Computer Science
Skills:
Event-Driven Architecture (EDA), Search Engine Optimisation (SEO), Bash Scripting, Data Pipeline, Python, AWS, Distributed Processing, Platform Modernization, Monitor systems performance, Amazon Relational Database Services, ETL specification, Design, Monitoring Concepts, pipeline development, Amazon Bedrock, Hybrid Cloud
Skills:
Power Bi, Pyspark, Azure Databricks, Azure Sql, Sql, ELT, Git, Azure Data Factory, Azure Data Lake, Data Modelling, Python, Azure DevOps, Etl, CI/CD, Lakehouse architecture, Data pipelines, Microsoft Fabric, Medallion architecture
Skills:
windows batch , data quality assurance , Data Pipeline, Data Governance, Real-Time Software, standards compliance, monitoring SLAs, ETL specification, on-demand services, Design, Proposal Development, Collaboration With Stakeholders, Define Data Requirements, Data Warehouse Systems, Development, Document Information
Skills:
data engineering , production deployment , Data Management, Pyspark, Apache Spark, AWS Glue, Sql, Cloud Storage, Data Pipeline, Data Lake, Batch Management, Databricks, AWS, Data Transformation, Enterprise Storage System, Analytical and Problem-Solving Skills, Data Quality Management, Technical Writing, Distributed Platforms, Error Handling
