Senior Data Engineer, Data Lake, Big Data, Apache NiFi \xe2\x80\x93 Dubai, 6-month contract

You must be a Senior Data Engineer, currently on a Freelance Visa in Dubai. You will be joining a growing Security company, heavily involved in AI and Big Data products that are sold to public and private sector clients.

This is a 6-month contract ONLY, with the possibility of extension at a later date.

Working hours for this role are:

• Monday to Thursday, 7:30am \xe2\x80\x93 3:30pm
• Friday, 7am \xe2\x80\x93 1pm
• Alternative Saturday\xe2\x80\x99s, 7:30am \xe2\x80\x93 12:30pm

• They work on a \xe2\x80\x9cone Saturday on, two Saturday\xe2\x80\x99s off\xe2\x80\x9d model, so any candidate would only have to work two Saturday\xe2\x80\x99s a month.

Responsibilities:

• Solid background on software development with strong python coding skills and solve challenging problems.
• Developing Data pipelines with Cloud Services & On-premise Data Centers.
• Web crawling, data cleaning, data annotation, data ingestion and data processing.
• Reading and collating complex data sets.
• Creating and maintaining data pipelines.
• Continual focus on process improvement to drive efficiency and productivity within the team.
• Use of Python, SQL, ES, Shell etc. to build the infrastructure required for optimal extraction, transformation, and loading of data.
• Provide insights into key business performance metrics by building analytical tools that utilize the data pipeline.
• Support the wider business with their data needs on an ad hoc basis.
• Open to extensive international business travel as and when required, and for extended periods.

Qualifications:

• 6+ years of programming experience, solid coding skills in Python, Shell, and Java.
• Bachelor\xe2\x80\x99s degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
• Strong practical knowledge in data processing and migration tools, such as Apache NiFi, Kafka, and Spark.
• Design, build, and maintain data processing with CDP (Cloudera Data Platform) Private Cloud.
• Develop and Maintain Data Workflow with Apache Airflow.
• Experience with HDFS or Similar Object Storage
• Strong Understanding about Distribute Computing and Distributed Systems
• Experience with Web crawling, cleaning.
• Experience with solution architecture, data ingestion, query optimization, data segregation, ETL, ELT, AWS, EC2, S3, SQS, lambda, Elastic Search, Redshift, CI/CD frameworks and workflows.
• Working knowledge of data platform concepts \xe2\x80\x93 data lake, data warehouse, ETL, big data processing (designing and supporting variety/velocity/volume), real time processing architecture for data platforms, scheduling and monitoring of ETL/ELT jobs
• PostgreSQL and programming (preferably Java, Python), proficiency in understanding data, entity relationships, structured & unstructured data, SQL and NoSQL databases.
• Knowledge of best practice in optimizing columnar and distributed data processing system and infrastructure.
• Experienced in designing and implementing dimensional modelling.

Knowledge of machine learning and data mining techniques in one or more areas of statistical modelling, text mining and information retrieval.

Kingston Stanley