Data Engineer- SQL+PySpark
Data Engineer- SQL+PySpark
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
More Info
Key Skills
ELT architecture
Big Data programming
Azure Blob Storage
Spark HDInsights
EventHub
IOTHub
Azure SQL DWH
CosmosDB
About Company
Skills:
data engineering , Pyspark, Sql, Azure Synapse, Azure Data Lake, Databricks, Power Bi, Informatica, Data Warehouse, ELT architecture, Big Data programming, Azure Blob Storage, Spark HDInsights, EventHub, IOTHub, Azure SQL DWH, CosmosDB, Stream sets, Attunity