Azure Data Engineer

Fragma Data Systems; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A technology solutions firm in Hyderabad is seeking an Azure Data Engineer to join their team. The ideal candidate will have expertise in Pyspark and SQL, and experience in data transformation and engineering on Azure. This full-time position focuses on constructing enterprise data solutions, with a mid-senior level expected. Candidates with strong analytical and communication skills will thrive in this role.

Qualifications

• Good experience in Pyspark, including Dataframe core functions and Spark SQL.
• Good experience in SQL DBs, able to write queries of fair complexity.
• Experience in Big Data programming for data transformation and aggregations.

Responsibilities

• Operationalize large scale enterprise data solutions using Azure services.
• Migrate on-premise data warehouses to Azure cloud platforms.
• Design and implement data engineering and ingestion functions.

Skills

Pyspark

SQL

Big Data programming

ELT architecture

Customer communication

Analytical skills

Tools

Azure Synapse

Azure SQL DWH

Azure Data Lake

Spark

Databricks

EventHub/IOTHub

Job description

Overview

Join to apply for the Azure Data Engineer role at Fragma Data Systems

This range is provided by Fragma Data Systems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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:- Windows Azure, ADF, PySpark, SQL, Azure and Data engineering

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

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