Data Engineer

Description:

The person in the role will execute on the technical development of modern data landscape for the company, building the requirement to deliver data in good quality for use in analytics and reporting. The role will sit on the Data Team, a group of data architects and data engineers charged with acquisition, organization, integration and secure storage of mission-critical and value added enterprise data.

A successful individual will have very strong data engineering experience and can demonstrate mastery of data warehousing concepts using both current and emerging best practices and technologies. They will enjoy connecting the dots between process and have an aversion to slow development cycles and the same old ways of doing things. Speed and agility in developing and delivering data driven solutions will be critical.

This role reports to the Head of Data & Analytics as part of a function that is accountable and responsible for the reliable delivery of data and insights that the business needs to understand performance and adjust strategy and operate smoothly in the face of ambitious growth and changing technology and operating models internally, and a shifting risk and competitive landscape. In this position you will:

•Act as the owner and developer of a predefined subset of processes and data pipelines, ensuring highly accurate and reliable delivery of outputs

•Collaborate with technical and business experts to improve our existing data landscape and drive better data driven decisions within the business.

•Adhere and enhance ETL and architecture standards and procedures to ensure consistency and accuracy of development, execution, knowledge sharing and documentation.

•Work closely with business architecture, IT and analytic teams help implement an end to end data strategy from data ingest to output into business tools.

•Coordinate closely with delivery lead and data team lead to ensure work is scoped, planned and delivered on-time and budget.

•Adhere and enhance the existing data governance framework and personally ensure compliance with regulatory and privacy requirements.

•Maintain a close working relationship with other group data teams within Munich RE to understand existing solutions and resources available for use within MRSI.

This position requires sound technical skills, good judgement, strong operational focus and ability to organize and manage workflow in fast paced environment with focus on service and business value. Successful candidates will be possess the following skills/capabilities:

•Technical: Strong coding skills and experience developing data pipelines for warehouses/lakes (academic project or work setting) not sure if we need this

•Analytical : Ability to understand complex business priorities and translate them into clearly defined technical/data specifications for implementation

•Innovation: Forward thinking and passionate about solving problems and has a strong drive to constantly learn and keep up to speed with the new technologies

•Organization: Ability to deal with ambiguity and operate in a fast-paced and rapidly changing environment with competing project priorities

•Communication: Ability to communicate clearly, effectively, and concisely, both verbally and in written form.

Qualifications

Qualifications

Successful candidates will be possess the following skills/capabilities:

•3+ years’ experience in a data engineering role with exposure to system design, data modelling, data-curation and validation procedures

•Experience in creating scalable and robust Data Pipelines and working with data lakes.

•Experience with writing advanced SQL queries and performing query optimization.

•Exposure of working with Big data tools and technologies like Data Bricks, HIVE and SPARK.

•3 + years hands on experience in SQL, HSQL, Python or R, and Azure Web services (Azure SQL, Azure Data Factory, Logic Apps etc.) and other web development application technology stacks (AWS, Informatica, DataStage, Talend)

•Bachelor’s Degree in Computer Science, Statistics, Math or equivalent combination of education and experience

•In depth knowledge of database structure principles, data modelling concepts, ETL procedures, Cloud data practices etc.

•Knowledge of data provisions requirements for web based business intelligence tools including Cognos, PowerBI and Tableau.

•Experience/knowledge of insurance preferably commercial specialty

•Experience working on data projects involving data engineers, architects and analysts.

•Knowledgeable with agile development methodologies and tools (i.e. AzureDevOps, Jira)

Skills:

Insurance, Data, Sql, erpss, daiss, azure, property & casualty, data modeling, informatica, spark, cognos, power bi, tableau

Top Skills Details:

Insurance,Data,Sql, erpss, daiss,azure

Additional Skills & Qualifications:

Data modeling

IICS

SPARK (some AWS to Azure work)

Cognos Power BI and Tableau

Experience Level:

Expert Level

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.