Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

For Employers

Add office photos

Employer? Claim Account for FREE

Incubit Global Business Services

Compare

4.1

based on 25 Reviews

2 Incubit Global Business Services Jobs

Data Engineer

IncuBIT, LLC

4.1

based on 25 Reviews

8-13 years

Mumbai

1 vacancy

Data Engineer

Incubit Global Business Services

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Data Analytics Python SQL Automation Testing Social Media Marketing

+ 3 more

Job Description

Data Engineer

Gurgaon H.O, HR

Apply for this job

Position Name : Sr Data Engineer

Location : Gurgaon

Work Model : Work from Office (WFO)

Notice Period : Immediate/ Early joiners (serving Notice Period)

Must Have skills:

Azure Data factory (ADF), Azure Databricks (ADB), Azure Synapse Analytics (SQL DW), Azure Analysis Services (AAS), Azure Data Lake Storage (ADLS), Azure SQL Database (SQL DB), SQL
Hands on experience designing and developing Data Pipelines for Data Ingestion or Transformation using Python (PySpark)/Spark SQL.
Experience working with version control GitHub and CI/CD pipelines using Azure.
Good to have: Power BI
Azure Certified (DP-200 DP201 preferred)
Having good experience on Apache Spark-based analytics platform like Azure Data bricks

Job Description:

Data Ingestion and Integration: You may need to ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
Data Storage and Management: Azure provides various data storage options, and as a Data Engineer, youll need to select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.
Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.
Data Modeling and Analysis: Data Engineers may collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.
Real-time Data Processing: Azure Stream Analytics is a platform that enables real-time processing of streaming data from sources like IoT devices, social media feeds, or log files. As a Data Engineer, you may configure and optimize streaming pipelines to extract insights from live data streams.
Data Governance and Security: Azure Data Engineers play a crucial role in ensuring data governance and security practices are implemented. They set up data access controls, implement encryption, monitor data quality, and establish data retention policies.
DevOps and Automation: Automating data pipelines, monitoring data processes, and managing deployments are important tasks for Azure Data Engineers. They may use tools like Azure DevOps, Azure Monitor, and Azure Automation to achieve continuous integration and delivery.