TechOps - DE - CloudOps AMS - AWS DataOps Engineer - Staff

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

 

 

 

 

The opportunity

 

We are seeking a detail-oriented and proactive AWS DataOps Engineer to join our growing data team. In this role, you will be responsible for supporting and optimizing cloud-based data pipelines and ETL workflows across AWS services. You will collaborate with analytics, engineering, and operations teams to ensure the secure, reliable, and scalable movement and transformation of data.

 

 

Your key responsibilities

 

• Monitor and maintain data pipelines using AWS Glue, EMR, Lambda, and Amazon S3.
• Support and enhance ETL workflows leveraging IICS (Informatica Intelligent Cloud Services), Databricks, and other AWS-native tools.
• Collaborate with engineering teams to manage ingestion pipelines into Amazon Redshift and perform data quality validations.
• Assist in job scheduling and orchestration via Apache Airflow, AWS Data Pipeline, or similar tools.
• Write and debug SQL queries across Redshift and other AWS databases for data analysis and transformation.
• Troubleshoot and perform root cause analysis of pipeline failures and performance issues in distributed systems.
• Participate in deployment activities using version control and CI/CD pipelines.
• Create and maintain SOPs, runbooks, and documentation for operational workflows.
• Work closely with vendors and internal teams to maintain high system availability and ensure compliance.

 

 

Skills and attributes for success

 

• Strong knowledge of AWS data services and architecture.
• Ability to analyze complex workflows and proactively resolve issues related to performance or data quality.
• Solid troubleshooting and problem-solving skills with a strong attention to detail.
• Effective communication skills for collaborating across teams and documenting findings or standard practices.
• A self-motivated learner with a passion for process improvement and cloud technologies.
• Comfortable handling multiple tasks and shifting priorities in a dynamic environment.

 

 

To qualify for the role, you must have

 

• 2–3 years of experience in DataOps or Data Engineering roles
• Hands-on experience with Databricks for data engineering and transformation.
• Understanding of ETL processes and best practices in data movement.
• Working knowledge of Amazon S3, EMR (Elastic MapReduce), AWS Glue, and Lambda.
• Experience with Amazon Redshift, including querying and managing large analytical datasets.
• Familiarity with job orchestration tools like Apache Airflow or AWS Data Pipeline.
• Experience in IICS (Informatica Intelligent Cloud Services) or equivalent ETL tools.
• SQL skills for data transformation, validation, and performance tuning.

 

 

Technologies and Tools

Must haves

 

• S3, EMR (Elastic MapReduce), and Glue for data processing and orchestration
• Databricks – ability to understand and run existing notebooks for data transformation
• Amazon Redshift for data warehousing and SQL-based analysis
• Apache Airflow or AWS Data Pipeline
• AWS Lamda
• Basic operational experience with IICS (Informatica Intelligent Cloud Services) or similar ETL platforms

 

 

Good to have

 

• Exposure to Power BI or Tableau for data visualization and dashboard creation.
• Knowledge of CDI, Informatica, or other enterprise data integration platforms.
• Understanding of DevOps tools and practices, especially in data pipeline CI/CD contexts.

 

 

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

 

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• 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 | Building a better working world 

 
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.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.