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Chase · 2 months ago

WCRT Sr Associate Data Engineer

237 Park Ave, New York, NY, 10017, US

Full-time

Onsite

Senior Level

$119K/yr - $160K/yr

5+ years exp

Chase is seeking a Sr Associate Data Engineer to transform their legacy data landscape and support advanced analytics and data-driven decision-making. The role involves designing and implementing robust data models and pipelines while collaborating with various teams to ensure data quality and governance.

BankingFinancial Services

Responsibilities

Contribute to the design and implementation of modern, scalable data solutions across hybrid cloud and on-prem environments, supporting both OLTP and OLAP requirements

Develop and maintain high-quality data models, ETL/ELT pipelines, and data integration processes

Participate in initiatives to consolidate, de-duplicate, and migrate legacy Oracle databases and big data platforms to modern, cloud-based data platforms

Apply and promote best practices in data engineering, security, risk management, regulatory compliance, and automation

Collaborate cross-functionally with software engineering, analytics, and business teams to deliver data solutions aligned with business objectives

Ensure data quality, governance, and metadata management across all data assets

Troubleshoot and resolve complex issues related to data duplication, quality, modeling, and ownership

Present technical strategies, architecture decisions, and project updates to stakeholders

Qualification

Data engineeringData modelingETL/ELT pipelinesCloud data platformsBig data technologiesData quality frameworksData governanceMetadata managementPythonData securityRisk managementRegulatory compliance

Required

5+ years in data engineering, with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments

Expertise in data modeling, database design, big data technologies, cloud data platforms (AWS, Azure, GCP), and modern data tools (e.g., Snowflake, Databricks, Airflow)

Strong experience architecting and optimizing transactional and analytical data systems

Mastery of ETL/ELT pipelines, data migration, data quality frameworks, data governance, and metadata management

Proficiency in enterprise-grade languages (e.g., Python) and data modeling & engineering tools

Solid background in data security, risk management, and regulatory compliance