• Solve challenging problems, using python coding skills.
• Design, build and launch new data extraction, transformation & loading processes in production.
• 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.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.

• Bachelor\'s degree in computer engineering, Computer Science, or Electrical Engineering and Computer Sciences.
• 3+ years of programming experience, solid coding skills in Python, Shell, and Java
• Good corporate capacity, good communication skills.
• 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 - 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.
• Develop and maintain scalable data pipelines and systems on Azure
• Extensive experience with Azure cloud services

• In-depth market and domain knowledge
• A passion for constant improvement
• An innovative and creative approach to problem-solving
• Excellent communication skills

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