
Data Engineer I (Python, AWS, Databricks)
At Travelers, we are seeking a Data Engineer I with a strong foundation in Python, AWS, and Databricks to join our dynamic team. As a Data Engineer I, you will have the opportunity to work on complex data solutions and contribute to the overall success of our organization. We are looking for someone who is passionate about data and has a strong understanding of cloud technologies and data engineering principles. If you are a self-motivated individual with a desire to continuously learn and grow in a fast-paced environment, we encourage you to apply for this exciting opportunity at Travelers.
- Design, develop, and maintain data pipelines using Python, AWS, and Databricks.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Build and optimize data warehouses, data lakes, and other data storage solutions.
- Perform data ETL processes and ensure data quality and integrity.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay updated with the latest advancements in data engineering and cloud technologies.
- Document data engineering processes and procedures.
- Perform data analysis to identify trends and insights.
- Implement data security and privacy measures to protect sensitive information.
- Participate in code reviews and provide constructive feedback to improve data engineering practices.
- Assist in the development and maintenance of data governance policies and procedures.
- Collaborate with the data science team to support their data needs.
- Train and mentor junior data engineers.
- Communicate effectively with team members and stakeholders to ensure project success.
- Adhere to company policies and procedures related to data management and security.
Proficiency In Python Programming Language: As A Data Engineer I At Travelers, A Strong Understanding Of Python Is Essential. The Ability To Write Efficient And Clean Code, Work With Data Structures, And Utilize Libraries And Frameworks Is Necessary For Success In This Role.
Familiarity With Aws Cloud Computing: Travelers Utilizes The Aws Cloud Platform For Its Data Storage And Processing Needs. A Qualified Data Engineer I Should Have Experience Working With Aws Services Such As S3, Ec2, And Emr To Manage, Store, And Process Large Datasets.
Experience With Databricks: Databricks Is The Preferred Data Analytics Platform At Travelers, And Proficiency In This Tool Is Crucial For A Data Engineer I. Knowledge Of Databricks’ Features Such As Spark, Delta Lake, And Mlflow Is Highly Valued.
Strong Understanding Of Data Engineering Principles: The Role Of A Data Engineer I At Travelers Involves Building And Maintaining Data Pipelines, Integrating Data From Various Sources, And Ensuring Data Quality And Integrity. A Solid Understanding Of Data Engineering Concepts And Best Practices Is Essential For This Job.
Ability To Work In A Collaborative And Fast-Paced Environment: As A Data Engineer I At Travelers, You Will Work As Part Of A Team To Develop And Implement Data Solutions. The Ability To Communicate Effectively, Collaborate With Others, And Adapt To Changing Project Requirements In A Fast-Paced Environment Is Crucial For Success In This Role.
Sql
Data Analysis
Database Management
Data Modeling
Data warehousing
Data Visualization
Data integration
Python programming
ETL (Extract, Transform, Load)
Aws Cloud Computing
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Data Engineer I (Python, AWS, Databricks) in Hartford, CT, USA is $93,000 - $120,000 per year. This range may vary depending on factors such as experience, education, and specific job responsibilities.
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The Travelers Companies, Inc., commonly known as Travelers, is an American insurance company. It is the second-largest writer of U.S. commercial property casualty insurance, and the sixth-largest writer of U.S. personal insurance through independent agents.

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