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Ernst & Young

Global professional services: audit, tax, consulting

GDS Consulting Data Technical Manager

Data EngineeringUpdated on Nov 14
Full-timeTaguig, Metro Manila, PhilippinesNo salary listedIn-person

About the Job

Requirements

  • 15+ years of IT industry experience, including at least 5 years in the role being applied for.
  • Experience developing data ingestion, data processing, and analytical pipelines for big data, relational databases, NoSQL, and data warehouse solutions.
  • Hands-on experience implementing data migration and data processing using Azure services including Databricks, ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Azure Data Catalog, and Cosmos DB.
  • Familiarity with cloud platforms such as AWS or GCP.
  • Familiarity with data warehousing concepts.
  • Familiarity with at least one business intelligence tool such as Power BI, Looker, Qlik, or Tableau.
  • Hands-on experience with Databricks Unity Catalog.
  • Hands-on experience with data modelling techniques and best practices for data warehousing.
  • Hands-on experience with Spark/PySpark.
  • Hands-on experience with programming languages such as Python or Scala.
  • Knowledge of DevOps and CI/CD deployments.
  • A computer science graduate or equivalent.
  • Working experience in an Agile-based delivery methodology.
  • Proficiency in software development life cycle best practices.
  • Experience in enterprise-grade solution implementations and converting business problems or challenges into technical solutions considering security, performance, and scalability.
  • Debugging and optimization skills.
  • Client management skills.
  • Demonstrated leadership experience with the ability to manage and mentor team members effectively.
  • Analytical skills and ability to solve complex technical problems.
  • Flexible, proactive, self-motivated working style with personal ownership of problem resolution.
  • Communication and presentation skills, both written and verbal.

Responsibilities

  • Develop and deploy Azure Data Factory and Databricks in a cloud environment using Azure Cloud services and Databricks.
  • Design cloud architecture and ETL/ELT solutions, and lead development and deployment.
  • Interact with onshore stakeholders to understand their business goals and contribute to delivery workstreams.
  • Collaborate with cross-functional teams to manage project timelines and deliverables.
  • Lead and mentor a team of data engineers, ensuring high-quality delivery and fostering professional growth.
  • Participate in all aspects of the solution delivery life cycle, including analysis, design, development, testing, production deployment, and support.
  • Manage resources and drive projects to successful completion.

Desired Qualifications

  • Familiarity with cloud platforms such as AWS or GCP.
  • Working experience in an Agile-based delivery methodology.
  • Familiarity with at least one business intelligence tool such as Power BI, Looker, Qlik, or Tableau.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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