Data Engineer(Remote)

We are seeking a highly skilled Data Engineer / BI Engineer with experience in designing ETL/ELT pipelines, managing databases, and developing dashboards using Power BI. The ideal candidate will be responsible for handling end-to-end data workflows, from data extraction and transformation to visualization and insights generation. This role also provides opportunities to upskill and contribute to AI-driven data initiatives, making it an excellent fit for professionals eager to grow in a modern data ecosystem. Responsibilities: • Design, develop, and maintain ETL/ELT pipelines using Python, Airflow, and SQL in an AWS environment. • Manage and optimize data lake and data warehouse solutions on AWS. • Develop and maintain data-driven dashboards and reports in Power BI, connecting to SQL Server and PostgreSQL Aurora databases. • Extract and integrate data from third-party APIs to populate the data lake. • Perform data profiling and source system analysis to ensure data quality and integrity. • Collaborate with business stakeholders to capture and understand data requirements. • Optimize SQL queries for performance and ensure efficient database operations. • Implement best practices for data engineering, visualization, and database management. • Participate in architectural decisions and contribute to the continuous improvement of data solutions. • Follow agile and lean development practices for efficient project execution. • Independently validate and assess the accuracy of data outputs before delivery, ensuring results align with business expectations. • Proactively evaluate different technical approaches and suggest alternatives to ensure optimal outcomes within the broader system and business context. • Stay updated on the latest AI and data engineering advancements, with opportunities to apply AI-powered solutions. Required Skills: • 4+ years of experience in data engineering, ETL/ELT pipeline development, and database management. • Strong expertise in SQL (T-SQL, MS SQL) with a focus on query optimization and database performance tuning. • Proficiency in Python (including data-specific libraries such as Pandas, NumPy, etc.) and Airflow for ETL/ELT processes. • Experience extracting and managing data from third-party APIs (REST, JSON). • Proven experience in designing and developing data warehouse solutions on AWS. • Strong expertise in Power BI for data visualization, dashboard creation, and connecting to SQL Server/PostgreSQL Aurora. • Familiarity with agile methodologies and a continuous improvement mindset. • Demonstrated ability to think critically and evaluate multiple technical solutions in the broader context of system architecture and business goals. • Excellent problem-solving skills and the ability to proactively identify and implement alternative solutions. • Strong communication skills and ability to work collaboratively in a team-oriented environment. • Willingness to upskill in AI-driven data solutions and contribute to AI-powered applications.

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