Data Engineer

4 days ago

Bangalore, Karnataka, India Quikdy Full time

We are hiring for below requirement.

Experience : 8+Years.

Relevant : 6 years must.

Location : Bangalore WFO.

At a high level : .

Production Support entails fixing any issues that arise on their live Data & Analytics Environment, running today.

Support Engineers are able to look at infrastructure (cloud servers), ETL code or datasets and assess issues - provide a resolution.

Skills include : Azure tech stack, ETL (Databricks python/spark), SQL, Power BI, Microsoft Data Fabric (sample resume below).

About the Role :


We are seeking a highly skilled Data & Analytics Production Support Engineer to join our growing team in Bangalore.


- In this critical role, you will be responsible for monitoring, troubleshooting, and resolving issues that arise in our live data and analytics environment.


- You will play a pivotal role in ensuring the reliability and performance of our data pipelines and analytics tools, allowing users to access the insights they need to make informed decisions.


Responsibilities :


- Proactively monitor the health and performance of the data and analytics environment using Azure monitoring tools.


- Diagnose and troubleshoot issues related to infrastructure (cloud servers), ETL code (Databricks Python/Spark), datasets, and data visualization tools (Power BI, Microsoft Data Fabric).


- Implement solutions to resolve production issues in a timely and efficient manner.


- Work collaboratively with developers and data analysts to identify and resolve complex technical problems.


- Document incidents, resolutions, and knowledge base articles for future reference. Stay up-to-date on the latest advancements in Azure technologies, ETL tools, and data visualization tools.


Qualifications :


- Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).


- Minimum 8 years of experience in data engineering, data analytics, or a related field.


- Minimum 6 years of experience directly relevant to Production Support in a data and analytics environment.


- Strong understanding of the Azure cloud platform, including Azure Data Services and Azure Monitor.


- In-depth knowledge of ETL processes and tools (Databricks Python/Spark).


- Proficiency in SQL querying and data manipulation techniques.


- Experience with data visualization tools such as Power BI and Microsoft Data Fabric. Excellent problem-solving and analytical skills.


- Strong communication, collaboration, and interpersonal skills.


- Ability to work independently and as part of a team in a fast-paced environment.


- Excellent time management and prioritization skills.

(ref:hirist.tech)

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