Tech S and T-Infra-Data Operations and Engineering Specialist - Senior

Job description

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. Role Summary Seeking skilled Data Operations & Engineering Specialist to design, develop, and support scalable data platforms, data pipelines, database solutions, and analytics ecosystems across AWS and Azure environments. The ideal candidate should have strong experience in data integration, migration, cloud-based data engineering, data warehousing, BI enablement, and operational excellence. Must Have Skills Strong hands-on experience in SQL, Python, and/or PySpark. Experience designing and developing ETL/ELT pipelines, data flows, and integration solutions. Hands-on experience with AWS (S3, Glue, Redshift, Lambda, Athena) and/or Azure (ADF, Databricks, ADLS, Synapse). Strong knowledge of Data Warehousing, Data Lakes, Lakehouse architectures, and dimensional data modeling (Star/Snowflake). Experience building and supporting enterprise data platforms for reporting, analytics, and business intelligence. Hands-on experience in data migration and modernization projects, including on-premises to cloud migrations and legacy platform transformations. Experience with Spark/Databricks and large-scale data processing. Knowledge of batch and real-time data processing frameworks. Experience with pipeline orchestration tools such as Airflow, ADF, Step Functions, or equivalent. Strong understanding of data quality, validation, performance tuning, and operational support. Experience supporting BI solutions using Power BI, Tableau, QuickSight, or similar platforms. Familiarity with source control, CI/CD, and Agile delivery methodologies. Good to Have Skills Experience with Snowflake, Microsoft Fabric, or similar modern data platforms. Exposure to streaming technologies such as Kafka, Event Hub, or Kinesis. Knowledge of CDC, replication, and data synchronization frameworks. Experience with Infrastructure as Code using Terraform, CloudFormation, or Bicep. Understanding of Data Governance, Metadata Management, Data Lineage, and Security practices. Cloud certifications such as AWS Data Engineer, DP-203, DP-600, or equivalent. Key Responsibilities Design, develop, and maintain scalable data pipelines and integration frameworks. Manage and optimize cloud-based data platforms, databases, data warehouses, and analytical datasets. Lead and support data migration, modernization, and transformation initiatives. Collaborate with business, analytics, and reporting teams to deliver reliable and trusted data assets. Ensure data quality, security, performance, availability, and operational stability. Support BI, reporting, and self-service analytics initiatives. Monitor, troubleshoot, and continuously improve data platform operations and processes. 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.