Senior Data Engineer

Altrata is a fast paced, growing leader in SaaS solutions designed to help organizations find and connect with the people who will have the biggest impact on their business. Comprised of five unique products, Altrata is on a journey to build a singular tech solution to deliver data and intelligence on wealthy and influential people around the world.

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Job Purpose

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The Senior Data Engineer will run an agile team, building and working on enterprise grade software systems using Databricks, Python, Spark, R and SQL. The Senior Data Engineer will provide input on best practices, and development standards, and mentoring of other team members.

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As a Senior Data Engineer, you are expected to work with architects to develop clean decoupled solutions; create automated tests in support of continuous delivery; adopt a culture of continuous improvement and delivery; and adhere to our standards. Furthermore, the senior data engineer will be responsible for providing significant input for building a greenfield modern data platform via cutting-edge technologies. The successful candidate should have experience developing big data solutions, with a deep understanding of developing complex enterprise data ETL and ML pipelines and projections.

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They should have a healthy drive to keep on top of the ever-updating data engineering curve, however, practice pragmatism with the tools where necessary. They must have a clear understanding Databricks design patterns to build data systems at scale. The candidate should be able to identify, diagnose, and design optimized data systems. They should have experience collaborating with architects, data scientists and product teams, whilst also having a passion for machine learning and AI to produce elegant solutions for cutting edge data workflows.

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The successful candidate should have experience working on big data solutions, with an understanding of developing complex enterprise data ETL pipelines and projections.

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Principal Accountabilities

• ​Drive innovation and the adoption of new technology to improve quality and time to market of the Altrata data platform.
• Define Altrata data platform stacks, languages, frameworks & standards.
• Contribute to the customer aware culture, engaging with Product, Data and Commercial teams.
• Contribute to the Altrata culture that makes Altrata a great place to work and attractive to the best talent.

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Key Interfaces

• ​QA, Business Analysts & Product Owners
• Platform & Front end engineering teams
• Architects
• CloudOps

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Knowledge, experience and skills:

• ​Significant professional work experience.
• ​Expert in Python, PySpark and SQL.
• Data Science experience R, ML, AI.
• Databases : SQL and No-SQL – Aurora, MS SQL Server, My SQL
• Experience with scrum, TDD, BDD, Pairing, Pull Requests, Continuous Integration & Delivery.
• OO experience, design patterns, SOLID principles.
• Continuous Integration tools – Github, Azure DevOps, Jenkins or similar.
• Infrastructure as code – Terraform, AWS CDK, AWS CloudFormation or similar.
• Strong experience with Cloud Platforms - AWS, Azure.

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More about Altrata

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Altrata is a global leader in people intelligence. It includes more than 100 million profiles on wealthy individuals around the world and more than 12 million profiles on senior decision makers, board members and C-suite leaders. Powered by a global team of Research Analysts, Altrata provides intelligence on the people who are most impactful to our clients’ success.

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Altrata™ is a registered trademark of the Euromoney Group comprised of five distinct offerings: BoardEx, Boardroom Insiders, RelSci, WealthEngine, and Wealth-X.

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Altrata is actively committed to promoting, fostering, and nurturing a diverse and inclusive environment, and all applicants will receive equal consideration regardless of race, sex, religion, color, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We recognize that these types of statements appear often in job descriptions. At Altrata, we really and truly mean it.

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