Description

You will lead the design and implementation of large-scale data architectures, processing pipelines, and governance standards.

This role is on-site.

Responsibilities

• Build, optimize, and troubleshoot complex data pipelines and validation processes.
• Design data warehouse architectures and manage end-to-end ETL workflows.
• Execute strategic data planning, governance, and standardization procedures.
• Manage big data workloads within containerized environments using Kubernetes.
• Analyze large datasets to optimize data workflows, performance, and mining outcomes.

Required Skills

• 7+ years of experience in Data Warehouse and Big Data technologies.
• 4+ years of hands-on experience with Scala, Spark, PySpark, Python, and SQL.
• 3+ years of experience in strategic data planning and governance.
• 3+ years of experience working in Agile environments.
• Proficiency with Hadoop, Hive, Pig, and MapReduce.
• Experience with Airflow, Kubernetes, and containerization.
• Experience with GCP or Azure cloud platforms.
• Strong background in Data Mining, Data Cleansing, and Data Analytics.

Preferred Skills

• Understanding of Java, ReactJS, and Node.js.
• Experience in Machine Learning and data optimization.

Key Skills

Education

Any Graduate