Description

You will design, develop, and manage scalable data pipelines and architectures to drive business decisions.

This role is hybrid.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Build and optimize data models to support analytics and reporting.
• Work with large datasets using big data technologies including Hadoop, Spark, and Kafka.
• Automate data workflows to improve efficiency and reduce manual effort.
• Ensure data quality, integrity, and security across all platforms.

Required Skills

• 5+ years of experience in data engineering, ETL processes, and database management.
• Proficiency in SQL, Python, or Java for data manipulation and processing.
• Hands-on experience with Hadoop, Spark, and Kafka.
• Strong knowledge of cloud platforms including AWS, Azure, or Google Cloud.
• Expertise in data modeling and data warehousing.
• Experience with BI tools such as Tableau, Power BI, or Looker.
• Ability to work in an Agile environment with cross-functional teams.
• Bachelor's or Master's degree in Computer Science, Data Science, or Information Technology.

Preferred Skills

• Experience with containerization and orchestration tools like Docker or Kubernetes.
• Knowledge of machine learning pipelines and data science workflows.
• Understanding of data governance, security, and compliance standards.

Key Skills

Education

Bachelor s or Master s degree in Computer Science,