Salary is 110k to 120k We are looking for a skilled Data Engineer to design, build, and maintain reliable data pipelines and analytics solutions. The ideal candidate has strong experience with Python, SQL, data warehousing, ETL/ELT processes, and Business Intelligence (BI).
You will work closely with data analysts, business teams, and engineering teams to transform raw data into accurate, actionable insights.
Responsibilities
- Develop and maintain scalable data pipelines using Python and SQL.
- Build ETL/ELT processes to collect, transform, and load data from multiple sources.
- Design and optimize data warehouses, databases, and data models.
- Write complex SQL queries for data transformation, analysis, and reporting.
- Ensure data quality, accuracy, security, and reliability.
- Support BI dashboards and reporting using tools such as Power BI, Tableau, or Looker.
- Partner with analysts and business stakeholders to understand data requirements.
- Troubleshoot data pipeline and performance issues.
- Automate repetitive data-processing and reporting tasks.
- Document data pipelines, processes, and data models.
Required Skills
- Strong programming experience with Python.
- Advanced SQL skills, including joins, CTEs, window functions, and query optimization.
- Experience building ETL/ELT pipelines.
- Knowledge of relational databases and data warehousing concepts.
- Experience with at least one BI platform such as Power BI, Tableau, or Looker.
- Understanding of data modeling, data quality, and database performance.
- Strong analytical and problem-solving skills.
Preferred Skills
- Experience with AWS, Azure, or Google Cloud.
- Experience with Spark, Airflow, dbt, Snowflake, Databricks, or similar technologies.
- Familiarity with Git and CI/CD.
- Experience working with APIs and cloud-based data sources.
- Knowledge of dimensional modeling and modern data platforms.
Phaxis