Data Engineer (financial/investment domain)

5 Months ago • 5 Years + • Data Analyst

Job Summary

Job Description

This Data Engineer role focuses on building and maintaining data infrastructure for investment reporting and analytics within a financial/investment firm. Responsibilities include designing and implementing scalable data pipelines using Snowflake and SQL, performing data manipulation and transformation, optimizing data storage and retrieval, collaborating with data analysts and other stakeholders, and ensuring data quality and reliability. The ideal candidate will possess strong SQL skills, experience with Snowflake, and a solid understanding of financial instruments and investment operations. They will also be responsible for data layer preparation, performance tuning, and staying current with data engineering best practices. This role requires significant experience in data engineering and a deep understanding of the financial domain.
Must have:
  • 5+ years data engineering experience
  • Expert-level SQL proficiency
  • Snowflake experience
  • Financial domain knowledge
  • ETL tool experience
  • Data pipeline design
  • Data modeling expertise

Job Details

Project description

We are seeking a highly skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities

Data Infrastructure Development:

Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.

Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.

Optimize data storage and retrieval performance in Snowflake.

Data Manipulation and Transformation:

Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.

Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.

Develop and maintain reusable SQL scripts and stored procedures for data processing.

Collaboration and Support:

Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.

Provide technical guidance and mentorship to junior data engineers and other team members.

Work closely with IT and DevOps teams to ensure seamless data integration and deployment.

Data Layer Preparation:

Design and build data layers to support various analytical and reporting needs.

Ensure data layers are well-documented, easily accessible, and performant.

Implement data governance and security best practices to protect sensitive information.

Performance Tuning and Optimization:

Monitor and optimize the performance of data pipelines, databases, and queries.

Identify and resolve performance bottlenecks to ensure timely and efficient data processing.

Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.

Skills

Must have

Education:

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field

Experience:

Minimum of 5 years of experience in data engineering, with a strong focus on SQL and data manipulation.

Proven experience working with Snowflake or other cloud-based data warehousing solutions.

Strong background in designing data model and building scalable data pipelines and data models.

Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.

Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.

Skills:

Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.

Strong experience with ETL tools and processes.

Familiarity with programming languages such as Python.

Knowledge of data governance, security, and compliance best practices.

Excellent problem-solving and analytical skills.

Strong communication and collaboration skills.

Nice to have

N/A

Other

Languages

English: C2 Proficient

Seniority

Regular

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About The Company

Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.

DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.

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