iQuanti
Role Overview:
We are seeking a Data Engineer to design, build, and maintain scalable data solutions. This role requires expertise in database technologies, ETL pipelines, cloud platforms, and data visualization tools. The ideal candidate will have strong programming skills in Python and a deep understanding of the Software Development Lifecycle (SDLC) for data solutions.
Key Responsibilities:
Database Management: Work with various database technologies, including BigQuery, Oracle, Snowflake, PostgreSQL , to design and optimize data storage solutions. ETL & Data Pipelines: Develop, manage, and optimize ETL pipelines using tools like Informatica and other data pipeline technologies. Cloud Data Solutions: Utilize AWS and GCP for data storage, processing, and pipeline orchestration . Programming & Automation: Write efficient Python scripts for data processing, transformation, and workflow automation. Data Visualization & Reporting: Build and optimize dashboards and reports using Tableau, Power BI, and Looker Studio . Performance Optimization: Improve dashboard and report performance by optimizing queries, data sources, and visualization techniques. Software Development Lifecycle (SDLC): Implement best practices for version control, testing, deployment, and monitoring of data pipelines. Required Qualifications & Skills:
4+ years of experience in data engineering, ETL development, or database management . Proficiency in BigQuery, Oracle, Snowflake, PostgreSQL , or similar database technologies. Strong experience in ETL tools (Informatica, AWS Glue, or similar) and data pipeline development . Hands-on experience with AWS and GCP cloud platforms . Expertise in Python for data transformation and automation. Proficiency in data visualization tools (Tableau, Power BI, Looker Studio). Experience in optimizing and improving dashboards and reports for performance efficiency. Good understanding of SDLC best practices , including version control, testing, and deployment of data solutions. Strong analytical and problem-solving skills with the ability to work in fast-paced, data-driven environments . Salary: $115K/yr
Compensation and Benefits
We are committed to providing a comprehensive Total Rewards package designed to support the well-being of our employees and their families. This includes:
Medical, dental, and vision coverage 401(k) retirement plans Flexible spending accounts (FSA) and health savings accounts (HSA) Life and disability insurance Commuter benefits Pet benefit programs Employee discount programs Employee Assistance Program (EAP) Paid parental leave Paid time off (PTO), sick days, and a floating holiday In addition to benefits, we offer a competitive Total Compensation package. This includes a base salary and eligibility for an annual discretionary incentive award or other applicable incentive compensation, based on role and performance.
Pay Transparency Disclosure
The salary range for this position is listed below. Actual compensation within this range will be determined based on various factors, including but not limited to:
Relevant skills, experience, and qualifications Market and budgetary considerations Internal equity with current or former employees in similar roles Tenure and performance (for current employees)
We are seeking a Data Engineer to design, build, and maintain scalable data solutions. This role requires expertise in database technologies, ETL pipelines, cloud platforms, and data visualization tools. The ideal candidate will have strong programming skills in Python and a deep understanding of the Software Development Lifecycle (SDLC) for data solutions.
Key Responsibilities:
Database Management: Work with various database technologies, including BigQuery, Oracle, Snowflake, PostgreSQL , to design and optimize data storage solutions. ETL & Data Pipelines: Develop, manage, and optimize ETL pipelines using tools like Informatica and other data pipeline technologies. Cloud Data Solutions: Utilize AWS and GCP for data storage, processing, and pipeline orchestration . Programming & Automation: Write efficient Python scripts for data processing, transformation, and workflow automation. Data Visualization & Reporting: Build and optimize dashboards and reports using Tableau, Power BI, and Looker Studio . Performance Optimization: Improve dashboard and report performance by optimizing queries, data sources, and visualization techniques. Software Development Lifecycle (SDLC): Implement best practices for version control, testing, deployment, and monitoring of data pipelines. Required Qualifications & Skills:
4+ years of experience in data engineering, ETL development, or database management . Proficiency in BigQuery, Oracle, Snowflake, PostgreSQL , or similar database technologies. Strong experience in ETL tools (Informatica, AWS Glue, or similar) and data pipeline development . Hands-on experience with AWS and GCP cloud platforms . Expertise in Python for data transformation and automation. Proficiency in data visualization tools (Tableau, Power BI, Looker Studio). Experience in optimizing and improving dashboards and reports for performance efficiency. Good understanding of SDLC best practices , including version control, testing, and deployment of data solutions. Strong analytical and problem-solving skills with the ability to work in fast-paced, data-driven environments . Salary: $115K/yr
Compensation and Benefits
We are committed to providing a comprehensive Total Rewards package designed to support the well-being of our employees and their families. This includes:
Medical, dental, and vision coverage 401(k) retirement plans Flexible spending accounts (FSA) and health savings accounts (HSA) Life and disability insurance Commuter benefits Pet benefit programs Employee discount programs Employee Assistance Program (EAP) Paid parental leave Paid time off (PTO), sick days, and a floating holiday In addition to benefits, we offer a competitive Total Compensation package. This includes a base salary and eligibility for an annual discretionary incentive award or other applicable incentive compensation, based on role and performance.
Pay Transparency Disclosure
The salary range for this position is listed below. Actual compensation within this range will be determined based on various factors, including but not limited to:
Relevant skills, experience, and qualifications Market and budgetary considerations Internal equity with current or former employees in similar roles Tenure and performance (for current employees)