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Chennai · Hybrid · 3-5 Yrs · 3 days ago
Financial Transaction Processing · 5001 to 10000 Employees · Jersey City, US
DTCC is the backbone of the U.S. financial markets. Every time someone buys a stock, invests for retirement, or trades U.S. Treasuries, DTCC works behind the scenes to make sure those transactions are processed safely and accurately. From clearing and settlement to custody and data services, we help keep markets stable, efficient, and trusted. Headquartered in Jersey City, New Jersey, we support nearly all U.S. equity market activity and the majority of U.S. Treasury transactions, processing quadrillions of dollars in securities each year. At DTCC, your work directly supports the financial system millions of people rely on every day.
Hiring: Engineering
What employees say
+ Great leaning curve at dtcc
− No reporting cons as of now
More reviews on the company profile.
Interview experience · Associate Director
I was interviewed by the ED. Questions were related to that of a manager. I was surprised that an associated director is asked questions of how a manager has to work.
Average difficulty · India · 41 reports
More interview insightsJob description
Overview
Are you ready to make an impact at DTCC?
Responsibilities
- Design, build, and maintain scalable enterprise data pipelines and data products using Snowflake, dbt, Python, and Apache Airflow.
- Develop and optimize data models following Medallion Architecture (Bronze, Silver, Gold) principles to support analytics, reporting, and downstream data consumption.
- Implement and manage Apache Iceberg tables, ensuring efficient data storage, partitioning, lifecycle management, and performance optimization.
- Build and maintain complex Airflow DAGs to orchestrate large-scale batch and data processing workflows with high reliability and observability.
- Develop advanced SQL transformations and data quality frameworks to ensure data accuracy, consistency, and governance across platforms.
- Optimize Snowflake workloads by monitoring query performance, warehouse sizing, clustering strategies, and credit consumption to improve cost efficiency.
- Collaborate with data architects, platform teams, and business stakeholders to translate data requirements into scalable technical solutions.
- Develop reusable dbt models, macros, tests, and documentation while promoting data engineering best practices.
- Utilize PySpark for large-scale data processing and transformation activities where distributed computing is required.
- Implement infrastructure-as-code solutions using Terraform to automate provisioning and management of cloud data platform resources.
- Support CI/CD implementation for data engineering solutions using Git-based workflows, automated testing, and deployment pipelines.
- Leverage Snowflake Cortex and AI-powered capabilities to enable intelligent data processing, enrichment, and analytical use cases.
- Containerize and deploy data engineering applications using Docker and modern DevOps practices.
- Conduct performance tuning, troubleshooting, and root cause analysis across data pipelines, orchestration workflows, and storage layers.
- Ensure adherence to data governance, security, compliance, and operational standards across enterprise data platforms.
- Mentor junior team members and contribute to architecture reviews, code reviews, and engineering best practices.
- Expertise in dimensional data modeling, star/snowflake schemas, and Medallion Architecture.
Qualifications
- Knowledge of data orchestration, monitoring, lineage, and observability frameworks.
- Familiarity with cloud-native data platforms, CI/CD pipelines, DevOps practices, and Infrastructure as Code.
- Strong analytical, problem-solving, and stakeholder management skills.
- Drive technical design discussions and recommend scalable architecture solutions.
- Balance performance, cost, reliability, and maintainability across data platform implementations.
- Participate in production support and continuously improve platform stability and operational excellence.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Data Engineering Senior Associate at DTCC?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. DTCC may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineering Senior Associate role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineering Senior Associate remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Data Engineering Senior Associate role at DTCC?
- This is a senior Data Engineering Senior Associate role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.