Data Analytics Engineer

This role is for one of the Weekday's clients

Data Engineer

Requirements

Key Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines for structured and unstructured data
• Develop and manage data lakes, warehouses, and marts to support analytics and reporting
• Build efficient and scalable data models ensuring clean, well-structured datasets for business use
• Support real-time and batch data processing, leveraging tools such as Spark, Kafka, or Hadoop
• Ensure strong data governance, security, and quality control across all data systems
• Collaborate with engineering and AI teams to provide reliable data inputs for machine learning and predictive analytics
• Conduct exploratory data analysis (EDA) to uncover insights and improve data understanding
• Create interactive dashboards and business reports using Power BI, Tableau, or Looker
• Automate recurring reporting processes and build KPI-monitoring systems for key stakeholders
• Perform data validation, performance optimization, and troubleshooting to maintain system reliability
• Translate complex data findings into clear, actionable insights for business and product teams
  

What Makes You a Great Fit

• Strong proficiency in Python with hands-on experience using Pandas, NumPy, and PySpark
• Expertise in advanced SQL — including complex queries, joins, and performance optimization
• Practical experience with ETL tools like Azure Data Factory, Airflow, or Pentaho
• Solid understanding of data modeling, architecture, and data warehousing principles
• Proficiency in business intelligence tools such as Power BI, Tableau, or Looker
• Experience working in cloud environments like Azure, AWS, or GCP
• Strong analytical mindset with excellent problem-solving and communication skills
• Ability to work collaboratively with technical and non-technical teams to deliver impactful solutions
• Exposure to ML/AI data pipelines, API integrations, and CI/CD practices is a plus
• A proactive, detail-oriented approach with a passion for clean, reliable, and optimized data systems