Data Engineer Enhancing Analytics and Data Processing Pipelines

Shape data infrastructure as a Data Engineer focused on analytics and processing. Improve data pipelines, build dashboards, and drive strategic initiatives for effective data management.

In this critical role, you'll tackle complex data challenges, enhancing system scalability and reliability. Your expertise will support long-term projects while working collaboratively with stakeholders to identify and address their data needs. Expect to utilize a robust tech stack that includes Spark, Power

BI, and AWS services.

Key Responsibilities:

• Architect systems for scalable data processing

• Automate cloud infrastructure and observability

• Collaborate on data analysis and reporting

• Develop CI/CD pipelines for automation

• Build dashboards for stakeholder insights

Requirements:

• 2–3 years in big data systems and SQL

• Proficient in Spark, Python, and SQL

• Experience with ETL tools like Airflow

• 1+ years in BI reporting tools, e.g., PowerBI

• Bachelor's degree in Computer Science or similar

Utilize your coding and analytical skills to transform data into insights and effectively support decision-making.
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