Data Engineer (PySpark+SQL)

Fragma Data Systems

Bengaluru, India

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Posted a month ago
Over 50 applicants

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

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.

Skills:- PySpark, SQL, Data engineering, Data Warehouse (DWH) and Spark

More Info

Job Type:

Permanent Job

Industry:

Other

Employment Type:

Full time

About Company

Fragma Data SystemsJob Source: www.linkedin.com

Job ID: 127866003

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Last Updated: 02-06-2026 02:33:21 AM

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Data Engineer- SQL+PySpark

Fragma Data Systems

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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