Vice President, Data Management Engineer at BNY

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Data Modeling, Metadata Analysis, Snowflake, Cloudera Hadoop, Python, SQL, PySpark, Apache Airflow, Restful API, Power BI, GitLab CI/CD, Jira, ETL, Data Engineering, Database Design

Industry

Financial Services

Description

Vice President, Data Management Engineer At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We’re seeking a future team member for the role of Vice President,Data Management Engineer to join our Enterprise Sourcing Office team. This role is located in PUNE In this role, you’ll make an impact in the following ways: * Establish partnerships with source system data owners and reporting team (data users) to understand and document requirements related to the use and gain an understanding of the data, including scope of data, limitations, attribute definitions, and linkages to other datasets. * Strong Data Management, Data Modeling and Metadata Analysis skills. * Analyzes application requirements and develops conceptual, logical and first-cut physical database designs (data models). Creates associated data model documentation such as entity and attribute definitions and formats. * Assists in logical data designs to deliver stable and flexible high performance data solutions. Investigates and corrects data discrepancies by reconciling faulty codes. * Provides data element naming consistent with standards and conventions and ensures that data dictionaries are maintained across multiple database environments (mainframe, distributed systems). * Ensures data content/quality by planning and conducting moderately complex data warehouse system tests, monitoring test results and taking required corrective action. Acts as a liaison to data owners to establish necessary data stewardship responsibilities (accountability for a particular data element/verifying accuracy of the data element before loading it into the database) and procedures. * Analyzes and designs data models, logical databases and relational database definitions using both forward and backward engineering techniques. * Seeks opportunities to promote data sharing, and to reduce redundant data processes within the corporation by identifying common structures across application areas. * Ensure adherence to data quality standards. * Determine root cause for data quality errors and make recommendations for long-term solutions. * Good to have knowledge on Procurement, Third-party governance and vendor data. To be successful in this role, we’re seeking the following: * The candidate should have strong understanding of big data technology stack such as Snowflake, Cloudera Hadoop Ecosystem that includes HDFS, Yarn, Hive & Impala etc. * The candidate should be a Python expert, SQL with Data Engineering capabilities. * The candidate should be able to demonstrate their work on real world projects with nice-to-have Skills AI, ETL tool Apache airflow , Restful API design and development, Reporting/BI tool such as Microsoft Power BI , GIT Lab CICD and JIRA. * Design and develop scalable data processing workflows using Pyspark and Python * Build and optimize batch data pipelines on Hadoop based platforms * Write complex and performance optimized SQL queries * Perform data extraction, transformation and loading (ETL) * Troubleshoot and optimize Spark jobs for performance and stability * Work with large datasets and ensure data quality and reliability * Collaborate with cross-functional teams for requirements understanding and delivery * Follow coding standards, best practices, and documentation At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom [https://www.bny.com/corporate/global/en/about-us/newsroom.html] BNY LinkedIn [https://www.linkedin.com/company/bnyglobal/posts/?feedView=all] Here’s a few of our recent awards: * America’s Most Innovative Companies, Fortune, 2025 * World’s Most Admired Companies, Fortune 2025 * “Most Just Companies”, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

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Responsibilities

Establish partnerships with data owners to document requirements and develop conceptual, logical, and physical database designs. Ensure data quality and reliability by designing scalable data processing workflows and optimizing batch data pipelines.