Data Engineering Consultant

Location: Austin, TX, onsite

Type: Full-time

Department: Digital

Summary

As a Consultant, Data Engineering, you will be at the forefront of building robust and scalable data solutions for our banking and capital markets clients. You will be responsible for designing and implementing end-to-end data pipelines that transform raw data into valuable insights. This is a critical role for an experienced professional who can translate complex business problems into actionable data engineering solutions, while working with established data infrastructures and preparing for a future transition to cloud-based technologies.

Responsibilities

Problem-Solving & Solution Design: Work closely with business stakeholders to understand complex business challenges and translate them into a clear, technical data engineering plan.
Data Pipeline Development: Design, build, and maintain efficient and reliable ETL/ELT pipelines to ingest, transform, and load large datasets from various sources.
Process Engineering: Design new data workflows or analyze existing ones to identify bottlenecks, then design and implement more efficient, repeatable, and scalable data processes.
Data Modeling: Translate technical requirements into logical and physical data models, designing relational data structures that support client analytics and reporting needs.
Automation and Optimization: Develop scripts and procedures to automate data delivery, reporting, and analysis, continuously optimizing these processes for performance and scalability.
Knowledge Transfer & Mentorship: Act as a key liaison between the on-site client team and a larger, off-shore team. You will be responsible for assimilating knowledge, creating documentation, and conducting training to ensure the wider team understands the project's architecture and can effectively contribute.
Client Communication: Communicate complex technical concepts clearly to both technical and non-technical audiences, acting as a trusted advisor to our clients.

Eligibility Requirements

A bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of professional experience in data engineering, building and managing large-scale data solutions.
Proven ability to understand business problems and translate them into actionable data engineering solutions. This requires strong analytical and problem-solving skills.
Deep expertise in designing and implementing ETL/ELT processes and working with very large datasets.
Strong experience with data modeling and relational database design.
Excellent communication and presentation skills, with a knack for translating technical challenges into business solutions.
Demonstrated experience in mentoring and teaching technical concepts to other team members.
Programming & Databases: Proficiency in programming languages like Python or Scala, and experience with SQL and NoSQL databases.
Data Platforms: Experience with data integration tools like SSIS or similar technologies.
Cloud & Data Platforms: While this project involves established infrastructure, familiarity with cloud platforms like AWS, GCP, or Azure, and data engineering tools such as Databricks, Snowflake, or Apache Spark is highly valued for future projects.
Business Intelligence: Exposure to data visualization and BI tools like Tableau, PowerBI, or QlikView.
Adaptability: A proven ability to quickly learn and apply new technologies and methodologies to solve complex problems. We're looking for someone who has a solid understanding of data engineering fundamentals and can adapt to different client tech stacks.

In the US, the target base salary for this role is $150,000-$180,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors.

About eClerx

eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business results.

The firm provides business process management, automation, and analytics services to a number of Fortune 2000 enterprises, including some of the world’s leading financial services, communications, retail, fashion, media & entertainment, manufacturing, travel & leisure, and technology companies. Incorporated in 2000, eClerx is traded on both the Bombay and National Stock Exchanges of India. The firm employs more than 19,000 people across Australia, Canada, France, Germany, Switzerland, Eqypt. India, Italy, Netherlands, Peru, Philippines, Singapore, Thailand, the UK, and the USA.

eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. We are also committed to protecting and safeguarding your personal data. Please find our policy here.