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.

Requirements

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

Benefits

Competitive salary

Class A Medical Insurance