Data Engineer

We are looking for an astute, proficient and qualified Data Engineer to assess, analyze and work with data concepts, use-cases & complex new data sources to provide business insights to customers and support the implementation & integration of the data sources into the platform.
  Key Responsibilities Functional ·        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.
Competitive salary Class A Medical Insurance Requirements: ·        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.
  Ideally, you’ll also need ·        In-depth market and domain knowledge ·        A passion for constant improvement ·        An innovative and creative approach to problem-solving ·        Excellent communication skills