EY-GDS Consulting-AI And DATA-Snowflake Data Engineer-Senior
Hyderabad, TG, IN, 500081
EY
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Corporate Title:
Senior Associate
Functional Title:
Senior Snowflake Data Engineer
Exempt
Business Unit:
Information Technology
Department:
Application Development
Business Unit Description:
The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.
Position Summary
Provides technical expertise and may coordinate some day to day deliverables for a team. Assists in the technical design of large business systems; builds applications, interfaces between applications, understands data security, retention, and recovery. Can research technologies independently and recommend appropriate solutions. Contributes to technology-specific best practices & standards; contributes to success criteria from design through deployment, including, reliability, cost-effectiveness, performance, data integrity, maintainability, reuse, extensibility, usability and scalability; contributes expertise on significant application components, vendor products, program languages, databases, operating systems, etc., and guides less experienced staff during the build and test phases.
Specific Responsibilities
- Act as a technical guide on one or more applications utilized by DTCC.
- Work with the Business System Analyst to ensure designs satisfy functional requirements.
- Work with large, complex data sets and high throughput data pipelines that meet business requirements.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
- Build data and analytics tools that utilize the data pipeline to provide actionable insights to operational efficiency and other key business performance metrics.
- Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs.
- Collaborate with data scientists and architects on several projects.
- Solve various complex problems.
Key skills:
- 5+ Years of Experience as Data Engineer or in similar role
- 4+ Years Cloud Datawarehouse Snowflake experience with Stream, Snowpipe ,Task, Snowpark etc
- 4+ years of Python development experience is necessary.
- Experience in distributed processing frameworks like spark, databricks, apache iceberg, data lakehouse architecture patterns
- Experience in a cloud-based environment.
- Experience with asynchronous processing using Python.
- Hands-on experience with database technologies (e.g. SQL and NoSql) with performance tuning.
- Technical expertise with data technologies and/or machine learning techniques
- Great numerical and analytical skills
- Ability to write reusable code components.
- Open-minded to the new technologies, frameworks
Qualifications
- Minimum of 6 years of related experience
- Bachelor's degree preferred or equivalent experience
- With 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm simplifies the complexities of clearing, settlement, asset servicing, data management, data reporting and information services across asset classes, bringing increased security and soundness to financial markets. In 2022, DTCC’s subsidiaries processed securities transactions valued at U.S. $2.5 quadrillion. Its depository provides custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $72 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 17.5 billion messages annually. To learn more, please visit us at www.dtcc.com or connect with us on LinkedIn, Twitter, YouTube and Facebook.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Consulting Databricks Data management Data pipelines Machine Learning NoSQL Pipelines Python Research Security Snowflake Spark SQL
Perks/benefits: Career development Team events
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