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Actualize Consulting Engineers | Azure Data Engineer | Bengaluru | Bharat | | 2023-03-08

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Job Location: Bengaluru

Job Detail:

Azure Data Engineer

Who are we

Actualize is a 17-year-old Multinational Company headquartered in Bangalore, Whitefield and having

another delivery centre in Pune, Hinjewadi. It also has offices in US and Germany and are working

with several OEM’s and Product Companies in about 12 countries and is a 200+ strong team

worldwide. We have openings for talented professionals in the Digital Technologies division who

have the aspiration and vision to grow with us. The job role will give global exposure to the

professionals as they will get a chance to work with Clients from North America, Europe & Asia

continent and may get an opportunity to travel on-site at customer location. The opportunity is work

from office/hybrid as we believe people should feel connected and culturally aligned to achieve


For more visit us at

About the Role

We are looking for Data Engineers to work on the projects in Data Analytics Competence. As a Data

Engineer for Data Analytics, you will execute the Data Engineering projects assigned to you and will

coordinate for the execution and delivery of the projects to CTS Airpower Data Analytics Centre.

You will work closely with team in Belgium. We are looking to build the core team in Bangalore

and hence, this is the best time to grab the opportunity and have quick growth and career

advancement which will be fulling in the long run. There may be 30% business travel involved for

this opportunity.

  • As Azure data engineer, you will build, configure, deploy and support a production-grade,

scalable and secure data platform. On top of this platform, you will build and support longterm,

production-grade data pipelines that ingest, store, transform, process, and expose

data from producer to consumer, based on business requirements. Data pipelines are

developed using a code-first approach in line with the platform standards and practices.

  • You translate functional requirements into a technical design.
  • You provide and maintain technical documentation.
  • You train and handover common data engineering related maintenance and monitoring

activities to the Data Operations & Quality Team.

  • You provide 2nd and 3rd level support in a DevOps operational mode or when required

(occasionally outside of office hours).

  • You share technology and platform expertise with colleague data engineers, product owners

and other people in the organization.

Important Areas of Expertise Are:

  • Storage: Best of breed (Cloud) storage solutions, both for unstructured and structured data.
  • Ingestion: Streaming and batch ingestion from source systems both in the cloud and onpremise,

private and public.

  • Transformation: Code-first approach using Spark (Databricks).
  • Analytic engines: Deploy, configure and operationalize analytics engines and its clustered


  • Exposure/Integration: Expose data based on consumption use-cases like data science, selfservice

analytics, business intelligence and operational API’s for process integration.

  • Data Platform: Health, logging, monitoring, debugging, automation.

Azure Data Engineer

Contact Us


  • A bachelor’s or master’s degree in computer science, engineering or equal through


  • 5 to 10 Years of working experience
  • The ideal candidate has strong and demonstrable hands-on experience with data

engineering on cloud-based data platforms using Databricks (Spark), preferably based on MS

Azure technology: Azure Storage, Azure SQL database, Azure data factory, Azure Databricks.

  • Good coding skills (Python, SQL or Scala).
  • Experience with following concepts or technologies is considered a plus:
  • Data Lake Storage, SQL, Hive, Presto, …
  • Databricks, Spark, Delta Lake, Hadoop, HDInsights, Cloudera, Hortonworks, MapR, …
  • Azure Functions, Azure Synapse, Azure Analysis Services, Power BI
  • Python, SQL, Scala, Java, C#, …
  • Azure AD, Ranger, …
  • Docker, Kubernetes, …
  • Azure, AWS, …
  • Kafka, StreamSets, REST, …

+91 8951899811 – Bindu – [email protected]

Job Type: Full-time

Salary: ₹795,662.19 – ₹2,546,711.16 per year


  • Health insurance
  • Paid time off


  • Day shift

Speak with the employer
+91 8951899811

Apply Here

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