EY GDS Consulting_Techops_DE CloudOps_DataOps Engineer - Staff 

Sri Lanka, Western Province, Colombo 

949225304

We are seeking a hands-on and motivated Azure DataOps Engineer to support our cloud-based data operations and workflows. This role is ideal for someone with strong foundational knowledge of Azure data services and data pipelines who is looking to grow in a fast-paced environment. You will work closely with senior engineers and analysts to manage data pipelines, ensure data quality, and assist in deployment and monitoring activities.

Your key responsibilities

► Support the execution and monitoring of Azure Data Factory (ADF) pipelines and Azure Synapse workloads.
► Assist in maintaining data in Azure Data Lake and troubleshoot ingestion and access issues.► Perform ETL operations and ensure timely and accurate data movement between systems.
► Write and debug intermediate-level SQL queries for data validation and issue analysis.
► Monitor pipeline health using Azure Monitor and Log Analytics, and escalate issues as needed.
► Support deployment activities using Azure DevOps pipelines.
► Maintain and update SOPs, assist in documenting known issues and recurring tasks.
► Participate in incident management and contribute to resolution and knowledge sharing.

Skills and attributes for success

► Strong understanding of cloud-based data workflows, especially in Azure environments.
► Analytical mindset with the ability to troubleshoot data pipeline and transformation issues.
► Comfortable working with large datasets and navigating both structured and semi-structured data.► Willingness to learn new technologies and adapt in a dynamic environment.
► Good communication skills to interact with stakeholders, document findings, and share updates.
► Discipline to work independently, manage priorities, and escalate issues responsibly.

To qualify for the role, you must have

► 2–3 years of experience in DataOps or Data Engineering roles
► Proven expertise in managing and troubleshooting data workflows within the Azure ecosystem
► Experience working with Informatica CDI or similar data integration tools
► Scripting and automation experience in Python/PySpark
► Ability to support data pipelines in a rotational on-call or production support environment

Technologies and Tools

Must haves

• Working knowledge of Azure Data Factory, Data Lake, and Synapse
• Exposure to Azure Databricks – ability to understand and run existing notebooks
• Understanding of ETL processes and data flow concepts

Good to have

• Experience with Power BI or Tableau for basic reporting and data visualization
• Exposure to Informatica CDI or any other data integration platform
• Basic scripting knowledge in Python or PySpark for data processing or automation tasks
• Proficiency in writing SQL for querying and analyzing structured data
• Familiarity with Azure Monitor and Log Analytics for pipeline monitoring
• Experience supporting DevOps deployments or familiarity with Azure DevOps concepts.

What we look for

• Enthusiastic learners with a passion for data op’s and practices.
• Problem solvers with a proactive approach to troubleshooting and optimization.
• Team players who can collaborate effectively in a remote or hybrid work environment.
• Detail-oriented professionals with strong documentation skills.

What we offer

•Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
•Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
•Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
•
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.