What are the responsibilities and job description for the Data Engineer position at Codinix Technologies Inc.?
Position Overview
We are seeking an experienced Data Engineer with expertise in Tableau, data architecture, and analytics. The ideal candidate will have a strong background in designing scalable data solutions, building efficient ETL pipelines, and delivering impactful data visualizations that support business decision-making. This role requires hands-on experience with data modeling, data warehousing, cloud technologies, and reporting platforms.
Required Qualifications
· Bachelor''s degree in Computer Science, Information Technology, Data Science, or a related field.
· 7–10 years of experience in Data Engineering, Data Analytics, or a related discipline.
· Proven experience developing and maintaining Tableau dashboards and reports.
· Strong communication and stakeholder management skills.
· Ability to work effectively in a collaborative, cross-functional environment.
Core Technical Skills
· Extensive experience with Tableau for dashboard development, reporting, and data visualization.
· Strong SQL skills with hands-on experience working with relational databases.
· Experience designing and developing ETL/ELT processes and data integration solutions.
· Solid understanding of data warehousing concepts, dimensional modeling, and data architecture.
· Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
· Familiarity with big data technologies and modern data engineering practices.
Preferred Skills
· Programming experience using Python and/or Java.
· Knowledge of machine learning concepts and supporting data pipelines.
· Experience with NoSQL databases.
· Understanding of data governance, security, and compliance standards.
· Strong analytical, troubleshooting, and problem-solving abilities.
Key Responsibilities
· Design, build, and maintain scalable data pipelines and data architectures to support enterprise analytics and reporting.
· Develop and optimize data workflows to improve performance, reliability, and efficiency.
· Partner with business and technical stakeholders to gather requirements and translate them into scalable data solutions.
· Create and maintain Tableau dashboards and visualizations that deliver actionable business insights.
· Implement data quality controls and ensure data accuracy, consistency, and integrity across multiple data sources.
· Support data modeling and data warehousing initiatives for analytical and operational reporting.
· Monitor and troubleshoot data processes to ensure high availability and performance.
· Stay current with emerging technologies, industry trends, and best practices in data engineering and analytics.
· Mentor junior team members and contribute to knowledge sharing and technical best practices.
Nice-to-Have
· Experience working in large-scale enterprise environments.
· Exposure to advanced analytics and business intelligence initiatives.
· Experience supporting cloud-based data platforms and modernization projects.
Salary : $110,000 - $125,000