Data Engineer (PySpark+SQL)
Data Engineer (PySpark+SQL)
Fragma Data SystemsFresher
- Posted a month ago
- Over 50 applicants have applied
Job Description
Must-Have Skills
- Good experience in Pyspark - Including Dataframe core functions and Spark SQL
- Good experience in SQL DBs - Be able to write queries including fair complexity.
- Should have excellent experience in Big Data programming for data transformation and aggregations
- Good at ELT architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption.
- Good customer communication.
- Good Analytical skill
- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud.
- Designing and implementing data engineering, ingestion, and transformation functions
- Azure Synapse or Azure SQL data warehouse
- Spark on Azure is available in HD insights and data bricks
- Experience with Azure Analysis Services
- Experience in Power BI
- Experience with third-party solutions like Attunity/Stream sets, Informatica
- Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
- Capacity Planning and Performance Tuning on Azure Stack and Spark.
More Info
Key Skills
ELT architecture
Big Data programming
Azure Blob Storage
Spark HDInsights
EventHub
IOTHub
Azure SQL DWH
CosmosDB
Stream sets
Attunity
About Company
Skills:
Pyspark, Sql, Azure Synapse, Azure Data Lake, Databricks, Python, ELT architecture, Big Data programming, Azure Blob Storage, Spark HDInsights, EventHub, IOTHub, Azure SQL DWH, CosmosDB