Aws Data Engineer (Remote)

ABOUT MORGAN STANLEYMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions, and individuals. For further information about Morgan Stanley, please visit ABOUT PARAMETRICParametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings. This role is part of Parametric's hybrid working model, which requires working in the office 3 days a week and remotely the remaining days of the week. ABOUT THE TEAMThe Data Engineering function within the Radius Data Platform team ensures that data pipelines are scalable, secure, and reusable across the enterprise. We specialize in integrating data from diverse sources and transforming it into trusted, analytics ready formats. We enable fast, reliable access to data for downstream users and applications. Our focus is on maintaining high data quality and governance standards. Ultimately, we empower data driven decision making across the organization. We actively partner with operations and key stakeholders to align data delivery with business needs.ABOUT THE ROLEThe Data Engineer is responsible for designing, structuring, and maintaining data systems that ensure accuracy, accessibility, and alignment with business needs. This role involves translating business requirements into scalable, end to end data architectures, while being proficient in SQL optimization and data modeling. Strong documentation skills, including ER diagrams and architectural flows, are essential. Success in this role requires analytical thinking, attention to detail, and the ability to communicate complex concepts to both technical and nontechnical stakeholders. Collaboration with cross functional teams is key to delivering reliable, high quality data solutions.PRIMARY RESPONSIBILITIES Collaborate on development projects across the full lifecycle : requirements gathering, design, implementation, testing, deployment, and support. Design and implement robust, scalable data solutions aligned with project timelines and business objectives. Develop, test, and maintain data pipelines and applications to support enterprise data platforms. Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL). Create and maintain documentation including ER diagrams, data flow diagrams, and architectural designs. Ensure consistency and integration of data solutions across teams and systems. Expand data platform capabilities to address new business challenges and data needs. Implement data security, backup, and recovery strategies in line with organizational policies. Design logical and physical data models in collaboration with business stakeholders and project managers. Resolve data model conflicts and ensure alignment with enterprise data standards. Contribute to the development and enforcement of data management policies, procedures, and standards. Evaluate emerging technologies and provide recommendations for adoption or improvement. Support business continuity and disaster recovery planning for data systems. JOB QUALIFICATIONS Required Experience : 5+ years Skill set : SQL / Python / PySpark / Bash / AWS CLI / Snowflake CLI / AWS / Databricks / DBT / Data warehousing / Data Lake / Data Lakehouse / Kafka / Apache Iceberg / Great Expectations / Databricks / Unity Catalog / Tableau / Power BI Primary Skills Bachelor's degree in computer science, Engineering, Mathematics, or a related field—or equivalent professional experience. 5+ years of hands-on experience in data engineering, data science, or software development roles. Minimum 3 years of experience working with Snowflake, including data modeling and performance tuning. 4+ years of experience with AWS or similar cloud platforms, including services like S3, IAM, Athena, RDS, DMS, Glue, KMS, SNS, SQS, and EMR. Proficient in programming with Python and scripting in Linux / Unix shell environments. Strong background in designing and architecting scalable, distributed data systems using opensource technologies. Familiarity with modern data architecture paradigms such as data lakes, data lake houses, and data mesh, with practical exposure to their implementation and strategic use. Proven experience working in Agile or other iterative development environments. Solid understanding of object-oriented programming principles, design patterns, and software engineering best practices. Deep expertise in data modeling, with a strong grasp of various data structures and their optimal use cases. Experience with Big Data tools for both batch and real time data processing. Excellent collaboration skills with the ability to work effectively across cross functional teams. Strong communication skills, capable of translating technical concepts for business stakeholders and nontechnical audiences. Demonstrated ability to foster a culture of accountability, teamwork, and continuous improvement. Good to Have Skills Master's degree in computer science, Mathematics, Engineering or similar is a plus Certifications in AWS / Snowflake Experience with reporting tools like Power BI, Tableau or similar Financial Industry experience a plus Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his / her / their services wherever and whenever necessary to ensure the success of our client services. WHAT YOU CAN EXPECT FROM MORGAN STANLEY : We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste into your browser. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.