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We are looking for an experienced Senior Data Engineer – Databricks to design, develop, and maintain scalable data pipelines on the Databricks platform. The role requires strong expertise in PySpark, Databricks, and modern data engineering practices, along with experience modernizing legacy data pipelines and building high-performance data solutions in cloud environments.
Elliott Moss in the past six years has grown and so did our ambition to provide skilled talents to all major MNCs and SMEs around the globe. We now have three operational offices strategically place around the globe to met our clients need.
We primarily deal with SAP (Principal Offices) and other IT companies in consulting, resourcing and training. We work with over 40 SAP Offices worldwide providing them with Trainers & Consultants for high-end Consulting assignments.
Our primary mission and vision is to provide you with the best suitable employees who bring success to your organization and allows us to grow together.
•Vision - To be a valuable contributor to the success of our clients and candidates in the next few years.
•Values - To reflect the qualities of our clients with a culture of passion, energy, enthusiasm and innovation
Job ID: 148477201
Skills:
, Sql, Python, Data Modelling, Pyspark, Data governance and security best practices, Databricks Platform, Data quality frameworks and testing methodologies, Workspace AI Agent, Delta Lake
Skills:
data vault , Pyspark, Python, AWS, Spark SQL, Data Modelling, Sql, Git, Gcp, Databricks, Azure, Etl, Data pipeline design patterns, Performance optimization, Streaming data processing, ELT processes, Optimization Techniques, Structured Streaming, DevOps practices, Schema evolution, Lakehouse architectures, Workspace AI Agent, Dimensional modelling, Data Engineering principles, DataFrames API, Delta Lake, ACID transactions
Skills:
Pyspark, Etl
Skills:
data engineering , Data Modelling, Pyspark, Sql, ELT, Devops, Git, Gcp, Databricks, Data Governance, Azure, Python, AWS, Etl, Data Quality Frameworks, Streaming Data Processing, Delta Lake
Skills:
Pyspark, Apache Spark, Kafka, ELT, Git, Azure Data Factory, Databricks, Azure, Azure DevOps, Etl, Databricks Structured Streaming, Spark performance tuning, Parquet format, Great Expectations, Azure Key Vault, MLflow, Unity Catalog, Data Lakehouse, Delta Lake, Azure Event Hubs
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