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Data Engineer (PySpark+SQL)
Data Engineer (PySpark+SQL)
Fragma Data Systems's logo

Data Engineer (PySpark+SQL)

Evelyn Charles's profile picture
Posted by Evelyn Charles
3.5 - 8 yrs
₹5L - ₹18L / yr
Remote, Bengaluru (Bangalore)
Skills
PySpark
Data engineering
Data Warehouse (DWH)
SQL
Spark
PowerBI
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
 
 
Technology Skills (Good to Have):
  • 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
 
Good to Have: 
  • 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.
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About Fragma Data Systems

Founded :
2015
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Fragma is a leading Big data, AI and Advanced analytics company provideing services global clients.

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Shubham Vishwakarma

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