Sr Data Engineer - ETL, Reporting, and Analysis

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Overview

The Senior Data Engineer - ETL, Reporting, and Analysis at Conexess Group plays a pivotal role in the development and optimization of data pipelines and ensuring the seamless integration of data from various sources. This position involves the design, implementation, and maintenance of scalable ETL processes, along with the development of comprehensive reporting tools to facilitate data-driven decision-making across the organization. The successful candidate will collaborate with cross-functional teams to provide insights and analytical support through data analysis and reporting solutions.

Job Responsibilities

• Design and build robust and scalable ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.
• Develop and maintain data pipelines that ensure high data quality and availability for analytics and reporting purposes.
• Create insightful reports and dashboards using appropriate data visualization tools and techniques to aid business intelligence initiatives.
• Identify and resolve data discrepancies and inconsistencies through diligent analysis and debugging methods.
• Collaborate with data analysts and other stakeholders to understand data requirements and translate them into technical solutions.
• Perform data modeling and schema design to optimize database performance for analytical queries.
• Ensure compliance with data governance and security policies while managing data access controls.
• Participate in code reviews to ensure best practices in data engineering and contribute to continuous improvement efforts.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Master's degree is a plus.
• 5+ years of experience as a Data Engineer or similar role focusing on ETL processes, reporting, and data analysis.
• Proficient in SQL and experience with database management systems such as PostgreSQL, MySQL, or Oracle.
• Strong knowledge of ETL tools, such as Apache NiFi, Talend, or Informatica.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication and collaboration abilities to work effectively with team members and stakeholders.

Technologies & Tools

The Senior Data Engineer at Conexess Group will work with a variety of technologies and tools designed to handle data integration and reporting. These include but are not limited to SQL databases for data storage and retrieval, ETL frameworks for data manipulation, cloud services for scalable data solutions, and data visualization software for creating insightful reports. The role may involve using programming languages such as Python or Java for data engineering tasks, along with platform-specific tools for monitoring and testing data pipelines.

Ideal Candidates

Ideal candidates for the Senior Data Engineer position possess a strong foundation in data engineering principles and a passion for transforming data into actionable insights. They exhibit a proactive approach to problem-solving, demonstrating the ability to tackle complex data challenges with creativity and innovation. A successful candidate should also have a strong attention to detail and a commitment to maintaining high-quality data standards. Furthermore, they should be adaptable, collaborative, and possess effective communication skills, facilitating the understanding of data-related concepts across various teams and stakeholders.