Data Engineer

# Data Engineer ## Company Overview *Company information is not specified.* ## Job Summary We are seeking a talented **Data Engineer** to join our growing data team. The ideal candidate will be passionate about **data** and possess strong skills in designing, building, and maintaining **data pipelines** and infrastructure. You will be responsible for **creating and managing data models**, building **reports** and **dashboards** in **PowerBI**, and leveraging your expertise in **SQL** and **Python** to ensure data is accurate, accessible, and ready for analysis. This role is perfect for someone who enjoys turning raw data into actionable insights. ## Responsibilities - Design, construct, install, test, and maintain highly scalable **data management systems**. - Develop and implement robust data pipelines and **ETL/ELT** processes to collect data from various sources. - Write complex and efficient **SQL** queries to extract, transform, and load data. - Use **Python** for data processing, automation, and to build data-intensive applications. - Create insightful and interactive dashboards and reports using **PowerBI** to meet business requirements. - Ensure data quality and integrity across all data systems. - Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions. - Optimize data retrieval and processing workflows for performance. ## Qualifications - Proven experience as a **Data Engineer** or in a similar role. - Strong proficiency in **SQL** and experience with relational databases (e.g., **SQL Server**, **PostgreSQL**, **MySQL**). - Proficient in **Python** and its data manipulation libraries (e.g., **Pandas**, **NumPy**). - Hands-on experience with **PowerBI**, including data modeling, **DAX**, and visualization. - Experience with **Azure Databricks**. - Solid understanding of **data warehousing concepts**, **ETL/ELT** processes, and data modeling. - Experience with other cloud data platforms (e.g., **Azure Synapse Analytics**, **AWS Redshift**, **Google BigQuery**) is a plus. - Familiarity with **version control systems** like **Git**. - Excellent analytical and problem-solving skills. - Strong communication skills and the ability to work effectively in a team environment. ## Preferred Skills - Experience with containerization technologies (e.g., **Docker**). - Knowledge of machine learning frameworks. ## Experience - Relevant professional experience in data engineering or a related field is preferred. ## Environment - This is a **remote** position, offering flexibility and support for work-life balance. ## Salary *Salary information is not specified.* ## Growth Opportunities *Opportunities for career advancement within the data engineering team are available, with pathways to senior technical roles or leadership positions.* ## Benefits *Benefits information is not specified.*