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Senior Data Engineer - Remote Job Opening In Rolling Meadows – Now Hiring Gallagher


Job description

Overview

JOB DESCRIPTION – SENIOR DATA ENGINEER Gallagher is a global leader in insurance, risk management and consulting services.

We help businesses grow, communities thrive and people prosper.

We live a culture defined by The Gallagher Way, our set of shared values and guiding tenets.

A culture driven by our people, over 30,000 strong, serving our clients with customized solutions that will protect them and fuel their futures.

Position Summary: The Senior Data Engineer will be responsible for the design, development, implementation and support of the Data Initiatives throughout Gallagher, to ensure that optimal data delivery architecture is consistent throughout ongoing projects.

You will engage in supporting the data analysts and data scientists, and data needs of multiple teams, systems and products.

Do you find the prospect of optimizing or even re-designing our company’s integration and data architecture to support our next generation of products and data initiatives most exciting?

We really should explore together.

How you'll make an impact Essential Duties and Responsibilities Drive requirements, scope, and technical design of the integration workflows, to make sure the build is conducted accurately and according to spec.

Develop and maintain requirements, design documentation and test plans.

Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

Coordinate with BI Engineers, Financial Applications and Oracle HR teams around data management including schemas, failure conditions, reconciliation, test data set up, etc.

Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks.

Construct and maintain of enterprise level integrations using the Snowflake platform, Azure Synapse, Azure SQL and SQL Server.

Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.

Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Troubleshoot issues helping to drive root-cause analysis, and work with infrastructure teams to resolve incidents and arrive to a permanent resolution.

Partner with data and analytics teams to strive for greater functionality in our data systems.

Provide direction and coordination for development, and support teams, including globally located resources.

Understand the layout and working of existing integrations that send and receive data between Oracle, Concur, JDE, Corporate Data Platform and other systems.

About You Required: A relevant technical BS Degree in Information Technology 5+ years writing SQL queries against any RDBMS with query optimization 5 years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server Experience with scripting tools such as Power Shell, Python, Scala, Java and XML Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage Experience structuring Data Lake for the reliability, security and performance Experience implementing ETL for Data Warehouse and Business intelligence solutions Skills to read and write effective, modular, dynamic, parameterized and robust code, establish and follow already established code standards, and ETL framework Strong analytical, problem solving, and troubleshooting abilities Good understanding of unit testing, software change management, and software release management Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as Code fundamentals Experience performing root cause analysis on data and processes to answer specific business questions, and identify opportunities for improvement Experience working within an agile team Excellent communication skills Compensation and benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve: Medical/dental/vision plans, which start from day one! Life and accident insurance 401(K) and Roth options Tax-advantaged accounts (HSA, FSA) Educational expense reimbursement Paid parental leave Other benefits include: Digital mental health services (Talkspace) Flexible work hours (availability varies by office and job function) Training programs Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing Charitable matching gift program And more...

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Rolling Meadows, United States, highlighting market share and opportunities for professionals in Senior Data roles.

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15 Jobs in Rolling Meadows
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Are You Looking for Senior Data Engineer Remote Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Gallagher adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Senior Data Engineer Remote Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Rolling Meadows. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Senior Data Engineer Remote typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Gallagher interview tips for Senior Data Engineer   Remote

Here are some tips to help you prepare for and ace your Senior Data Engineer Remote job interview:

Before the Interview:

Research: Learn about the Gallagher's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Final Thought:

To prepare for your Senior Data Engineer Remote interview at Gallagher, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Gallagher's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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