About the Role:
OSTTRA India

The Role: Sr Data Engineer

The Team: The OSTTRA Technology team is composed of Capital Markets Technology professionals, who build, support and protect the applications that operate our network. The technology landscape includes high-performance, high-volume applications as well as compute intensive applications, leveraging contemporary microservices, cloud-based architectures.

The Impact: Together , we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets

What’s in it for you:
We are seeking an experienced Sr Data Engineer to join our team. The ideal candidate will be responsible for data migration, implementing, and maintaining scalable data pipelines and infrastructure.
The candidate may also have to guide and mentor junior team members. This role requires a strong technical background, leadership skills, and the ability to collaborate effectively across teams. Data Engineer Tech Lead would emphasize the importance of handling data migration processes, especially when transitioning between different systems or platforms.
This role is based out in Gurgaon and expected to work with different teams and colleagues across the globe.

Responsibilities:
Architecture and Design: Work with Architects & vendor to design, develop, and implement robust, scalable, and high-performance data pipelines and systems that meet business requirements and align with best practices.

Data Modelling: Collaborate with analysts, and other stakeholders to understand data needs, design efficient data models, and optimize data structures for analytics and reporting.

Migration: Lead and execute data migration initiatives, ensuring seamless transition and consolidation of data from legacy systems to modern data platforms. Develop strategies for efficient and accurate data migration while minimizing downtime and ensuring data integrity throughout the process. Develop Recon process between old and new system.

Technical Expertise: Experience in implementing distributed systems that perform complex transformations, processing, and analysis over large scale datasets. Stay updated with the latest technologies, tools, and trends in data engineering, and drive the adoption of best practices within the team.

Quality Assurance: Establish and maintain data quality standards, perform data validation, and implement monitoring solutions to proactively identify issues. Develop processes to automate detection of quality regressions in raw data

Collaboration: Work closely with cross-functional teams including software engineers, data scientists, and product managers to support data-related initiatives and ensure alignment with business objectives.

What We’re Looking For:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

12+ years of experience in data engineering with a proven track record of designing and
implementing complex data solutions.

Proficiency in programming languages such as Python, Java, or Scala. Experience with SQL, ETL processes, and data warehousing concepts.

Strong expertise in big data technologies like Kafka/OLAP, or similar frameworks.

Experience with SQL and No-SQL databases and different format supported by these databases.

Experience with cloud platforms (e.g., AWS, Azure, GCP) and understanding of containerization and orchestration tools (e.g., Docker, Kubernetes).

Leadership and mentoring skills with the ability to lead a team, prioritize tasks, and drive
projects to completion.

Excellent problem-solving abilities, attention to detail, and a collaborative mindset.

Effective communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

Optimizing slow-running database queries and data pipelines

Preferred: Certifications in relevant technologies (AWS/Azure/GCP, etc.).

Experience with machine learning frameworks or data science concepts.

The Location: Gurgaon, India

About Company Statement:
OSTTRA is a market leader in derivatives post-trade processing, bringing innovation, expertise, processes and networks together to solve the post-trade challenges of global financial markets. OSTTRA operates cross-asset post-trade processing networks, providing a proven suite of Credit Risk, Trade Workflow and Optimisation services. Together these solutions streamline post-trade workflows, enabling firms to connect to counterparties and utilities, manage credit risk, reduce operational risk and optimise processing to drive post-trade efficiencies.

OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ years: Markit Serv, Traiana, Tri Optima and Reset. These businesses have an exemplary track record of developing and supporting critical market infrastructure and bring together an established community of market participants comprising all trading relationships and paradigms, connected using powerful integration and transformation capabilities.

About OSTTRA

Candidates should note that OSTTRA is an independent firm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global provides recruitment services to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joining our global team of more than 1,200 post trade experts.

OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ years: Markit Serv, Traiana, Tri Optima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group.
With an outstanding track record of developing and supporting critical market infrastructure, our combined network connects thousands of market participants to streamline end to end workflows - from trade capture at the point of execution, through portfolio optimization, to clearing and settlement.
Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets.

Learn more at www.osttra.com .

What’s In It For You?

Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body.

Flexible Downtime: Generous time off helps keep you energized for your time on.

Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

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Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

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Job ID: 296774
Posted On: 2024-09-04
Location: Gurgaon, Haryana, India