We are looking for Data engineers to join our fast-growing analytics and AI team. You will be responsible for designing and optimizing data pipeline architecture as well as optimizing data flow and collection for cross functional teams.

 Job Accountabilities:-

• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data sources, volume and complexity.
• Data manipulation and cleansing
• Operate and optimize AI solutions
• Act as focal point between AI  Software Engineering and Data sources
• Data Modelling and Platforming for analytics
• Develop, construct, test and maintain architectures
• Align architecture with business requirements
• Deploy sophisticated analytics programs, machine learning and statistical methods
• Prepare data for predictive and prescriptive modeling
• Find hidden patterns using data
• Use data to discover tasks that can be automated
• Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

What might be impressive about you?

• BSc or Advanced degree in Data Science, Data Engineering, Statistics, Computer Science, or similar.
• 1- 2 years of experience as a Big Data Engineer/Developer on the Hadoop Ecosystem, with experience in data profiling and transformations
• 1- 2 years of experience using PySpark core, or PySpark SQL, and PySpark Dataframe
• Experience with core Java (and/or Scala, Python)
• Experience with NoSQL databases such as HBase, Cassandra, or MongoDB
• Experience with SQL databases
• Proficient in designing efficient and robust ETL/ELT workflows, schedulers, and event-based triggers
• Strong critical thinking, decision making, and problem-solving skills
• Excellent verbal/written communication skills, including communicating technical issues to non-technical audiences
• Exposure to Spark Streaming and Machine Learning
• Exposure to Data Mining, Data Engineering, and Data Modeling
• Exposure to Graph Databases

Technologies

• Python (fastapi, cython, scipy, Scikit-learn, Seaborn, flask, bottle )
• Spark(Pyspark or Scala)
• Big data Tools
• Databases (SQL,NoSQL)
• API integration(restful/json/SOAP

Why us?

• Our company is growing on a daily basis and so do your challenges and scope of work!
• The whole team is working with one goal in mind which is “CyShield as the best work environment to work at”.
• Our top notch team is our source of strength and as a result we provide equal development and training opportunity.
• Benefits that benefit you is always our main aim, we guarantee you [ Medical coverage , Flexible working hours, Social and Life insurance , Quarterly bonuses and much more in action!].

Want to be part of our team? We’d love to hear about the great impact you think you can do.