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SQL Developer, Hartford, CT (2 days a week)

Salary undisclosed
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Job Title: SQL Developer
Client: Healthcare Client
Location: Hartford, CT (2 days a week)
Duration: Long term


About the Role:
We are seeking a talented and detail-oriented SQL Developer with experience in Google Cloud Platform (Google Cloud Platform) and some Python scripting to join our dynamic team. The ideal candidate will focus on designing and optimizing SQL-based solutions, managing data pipelines, and supporting cloud-based data architecture.

Key Responsibilities:
SQL Development: Write, optimize, and maintain complex SQL queries and database procedures for efficient data processing and retrieval.
Google Cloud Platform Integration: Work with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage to design and implement scalable data solutions.
Data Management: Ensure data integrity, consistency, and accuracy across multiple databases and cloud environments.
Python Scripting: Utilize Python for automation, data transformation, and workflow optimizations as needed.
ETL Pipeline Development: Design and maintain efficient ETL processes to support business intelligence and analytics needs.
Performance Tuning: Analyze and optimize database performance, query execution, and indexing strategies.
Collaboration: Work closely with data engineers, analysts, and business teams to understand data needs and deliver effective solutions.
Documentation: Maintain comprehensive documentation for SQL scripts, data models, and workflows.

Required Skills & Qualifications:
SQL Expertise: Strong knowledge of SQL, query optimization, indexing, and database management.
Google Cloud Platform Experience: Hands-on experience with Google Cloud Platform services, such as:
BigQuery
Dataflow
Cloud Storage
[Optional: Pub/Sub, Cloud Composer, etc.]
Python Scripting: Basic to intermediate proficiency in Python for automation and data processing.
ETL & Data Pipelines: Experience in building, managing, and optimizing ETL workflows.
Data Modeling: Understanding of relational database modeling and best practices.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Job Title: SQL Developer
Client: Healthcare Client
Location: Hartford, CT (2 days a week)
Duration: Long term


About the Role:
We are seeking a talented and detail-oriented SQL Developer with experience in Google Cloud Platform (Google Cloud Platform) and some Python scripting to join our dynamic team. The ideal candidate will focus on designing and optimizing SQL-based solutions, managing data pipelines, and supporting cloud-based data architecture.

Key Responsibilities:
SQL Development: Write, optimize, and maintain complex SQL queries and database procedures for efficient data processing and retrieval.
Google Cloud Platform Integration: Work with Google Cloud Platform services like BigQuery, Dataflow, and Cloud Storage to design and implement scalable data solutions.
Data Management: Ensure data integrity, consistency, and accuracy across multiple databases and cloud environments.
Python Scripting: Utilize Python for automation, data transformation, and workflow optimizations as needed.
ETL Pipeline Development: Design and maintain efficient ETL processes to support business intelligence and analytics needs.
Performance Tuning: Analyze and optimize database performance, query execution, and indexing strategies.
Collaboration: Work closely with data engineers, analysts, and business teams to understand data needs and deliver effective solutions.
Documentation: Maintain comprehensive documentation for SQL scripts, data models, and workflows.

Required Skills & Qualifications:
SQL Expertise: Strong knowledge of SQL, query optimization, indexing, and database management.
Google Cloud Platform Experience: Hands-on experience with Google Cloud Platform services, such as:
BigQuery
Dataflow
Cloud Storage
[Optional: Pub/Sub, Cloud Composer, etc.]
Python Scripting: Basic to intermediate proficiency in Python for automation and data processing.
ETL & Data Pipelines: Experience in building, managing, and optimizing ETL workflows.
Data Modeling: Understanding of relational database modeling and best practices.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job