This is an exciting opportunity for experienced data professionals to join a growing digital transformation agency. This is a Data Engineer position, this technical position would provide great exposure across various industries, including start-ups to MNCs.

Responsibilities:

• Developing the technical architecture to enable large scale Big Data Analytics projects
• Providing technical evaluations and advice with Data Science
• Create suitable data architecture suitable for large datasets, analysis, storage, transformation, cleaning, and reclamation
• Create data security and data privacy standards and methodologies best practices
• Recommend and advise from a technical perspective, on big data architecture/ containers on the overall architecture

Requirements:

• In depth experience in building Big Data analytical platforms using containerization, and cloud technologies, including AWS, Azure, Kubernetes, Docker
• Extensive understanding and architecture experience with Data Science tools, Modelling Streaming Data, Enterprise Data Warehousing, Machine Learning
• Minimum of 6 years of experience in development within data analytics/ data science, on technologies like Hadoop, Hive, Spark, HBase, Impala, Kafka, Tex, Ranger, Presto
• Well versed with agile methodology and SDLC tools Educational background in Computer Science/ Software Engineering or related