채용
Required Skills
SQL
ETL development
Data modeling
Git
Application Dev Consultant - 87ID5E
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.
As Hartford Funds continues to leverage offshore data engineering talent to optimize costs and scale delivery, it is critical to establish a Senior ETL Developer role to ensure technical excellence, operational efficiency, and adherence to corporate standards. This role will be hands-on, directly contributing to development while also collaborating with offshore resources to ensure standards.
This role requires a strong foundation in SQL, ETL processes, and cloud data platforms, along with a proactive mindset for identifying and resolving data bottlenecks and inefficiencies.
Responsibilities:
- Project Execution The senior ETL developer should be able to translate business requirements into technical specifications.
- Ensure timely and high-quality execution of data projects.
- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop and optimize data models for analytics and reporting.
- Stay current with emerging technologies and recommend adoption where appropriate.
- Conduct code reviews, enforce best practices, and ensure adherence to corporate standards.
- Collaboration & Advisory Partner with data operation engineer, system analysts, and data architect to design scalable data solutions.
- Provide guidance on best practices for data architecture, storage, and processing.
- Contribute to documentation, standards, and knowledge sharing across the team.
Qualifications:
Required
- Bachelor’s or master’s degree in computer science, Data Engineering, or related field
- 5+ years of experience in ETL development
- Experience managing offshore or distributed teams is strongly preferred
- Strong proficiency in SQL and experience with ETL/ELT tools (e.g., DBT, Talend, Matillion, Informatica, custom Python scripts)
- Hands-on experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Redshift)
- Knowledge of CI/CD practices and version control (e.g., Git)
- Strong understanding of ETL/ELT processes, data warehousing, and data modeling
- Strong problem-solving skills and a proactive approach to identifying and resolving issues
- Excellent communication skills to manage cross-functional and cross-cultural teams
Preferred
- Knowledge of Python or other scripting languages for automation
- Familiarity with monitoring tools
- Experience working in Agile or DevOps environments
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$100,000 - $140,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
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About Hartford

Hartford
BootstrappedAn e-store that retails different types of clothes and accessories for men, women, and children.
51-200
Employees
Paris
Headquarters
Reviews
3.8
9 reviews
Work Life Balance
2.8
Compensation
2.5
Culture
3.9
Career
3.2
Management
3.1
67%
Recommend to a Friend
Pros
Great training programs
Good company culture and work environment
Supportive and accessible management
Cons
Management issues and instability
Low compensation and merit increases
High call volume and long hours
Salary Ranges
29 data points
Mid/L4
Senior/L5
Mid/L4 · BUSINESS INTELLIGENCE DEVELOPER
1 reports
$107,484
total / year
Base
$82,680
Stock
-
Bonus
-
$107,484
$107,484
Interview Experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 67%
Negative 33%
Interview Process
1
Phone Interview
2
Video Interview
3
Analyst Interview
4
Trader Interview
5
Vice President Interview
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