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  • Posted: Jan 16, 2024
    Deadline: Not specified
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  • At Data2Bots, we build secure and scalable data solutions in the cloud, helping businesses make informed decisions off their data. Our solutions are driven towards identifying organizational data challenges, designing strategies to address them while keeping your business’s needs top of mind without disrupting your business activities. Our consultants h...
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    Data Engineer-Talent Pipeline

    PROFILE 

    • A bachelor’s degree in computer science, an engineering discipline or other related courses
    • At least 4 years of professional IT industry experience excluding internship and freelance
    • At least 4 years of software engineering experience
    • At least 2 years of cloud computing experience, most preferably Azure. 

    TECHNICAL SKILLS

    • Proficiency in ETL development using Python, SQL and Data Factory.
    • Hands-on experience with Python data processing frameworks such as PySpark or Pandas.
    • Good Knowledge of Software Development Standards and best practices such as Test Driven Development (TDD), Keep it simple, stupid (KISS), you aren't gonna need it (YAGNI), and don't repeat yourself (DRY).
    • Hands-on experience with DevOps, CI/CD and Infrastructure as Code.
    • Knowledge of Data Warehousing Concepts and Data Warehouse Modeling.
    • Experience working with at least one Cloud Data Warehouse Solution such as Azure Synapse.
    • Experience with data flow orchestration tools such as Azure Logic Apps is an advantage.
    • Experience with distributed computing and container orchestration (Kubernetes) is an advantage.
    • Experience with data streaming solutions such as Kafka is an advantage.
    • Experience with Microservices and Event-Driven architecture is an advantage.

    SOFT SKILLS

    • Good understanding of Agile Methodology and Scrum Rituals.
    • Ability to work independently, think proactively and pay attention to details.
    • Seeing through a data engineering project from conception to finished product.
    • Able to adapt to a fast-paced technical environment.
    • Energetic, motivated and team player.
    • Excellent communication skills in English – both written and spoken.
    • Ability to communicate effectively with cross-functional teams and business stakeholders.

    go to method of application »

    Analytics Engineer-Talent Pipeline

    PROFILE

    • A bachelor’s degree in computer science, an engineering discipline or a related study
    • At least 4 years of professional IT industry experience
    • At least 2 years experience in the development of solutions that include data design/modelling, ETL technologies and Integration technologies.
    • Real world experience in object-oriented programming using python
    • Experience with Version control system using Git, and knowledge of the cloud Azure
    • Practical experience in handling Big Data or other relational databases to manage multi-Terabyte scale data.
    • Knowledge of reporting systems or analytic systems.

    TECHNICAL SKILLS

    • Proficiency in ETL development using Python and SQL
    • Good Knowledge of Software Development Standards and best practices
    • Experience with Version control system using Git, and knowledge of the cloud Azure
    • Vast experience in DBT and Snowflake 
    • Previous Hands-on experience in the development of solutions that include data design/modelling, ETL technologies and Integration technologies.
    • Excellent design and development history indicating expertise across the full Software Development Life Cycle
    • Excellent Knowledge of data modelling, data warehousing and data integration.
    • Understand some data warehousing concepts such as (CDC, SCD), & Azure synapse
    • Act as SPOC (Single Point of Contact) for Analytical developments for Business
    • Support the development of dashboards and automated reporting capabilities for process and product robustness
    • Awareness of Big Data Solutions for un-structured and multi-structured data
    • Knowledge of Data Warehousing Concepts and Data Warehouse Modeling

    SOFT SKILLS

    • Good understanding of Agile Methodology and Scrum Rituals
    • Ability to work independently, think proactively and pay attention to details.
    • Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity.
    • Able to adapt to a fast-paced technical environment
    • Energetic, motivated and team player
    • Excellent communication skills in English – both written and spoken.
    • Ability to communicate effectively with cross-functional teams and business stakeholders

    go to method of application »

    Python Engineer-Talent Pipeline

    • You will be participating in all phases of the software development lifecycle. If you’re a seasoned developer with a love for solving complex problems using Python, we would like to meet you.
    • Your ultimate goal is to create high-quality products that meet customer needs.

    REQUIREMENTS AND SKILLS

    • A minimum of five (5) years of related  experience is required
    • Solid experience as Python Developer
    • A minimum of (5) years of experience with Python frameworks (e.g. Django, Flask, Pandas, Apache Spark)
    • Familiarity with some ORM (Object Relational Mapper) libraries
    • Familiarity with Azure and REST API
    • Understanding of databases and SQL
    • Able to integrate multiple data sources and databases into one system
    • Understanding the threading limitations of Python, and multi-process architecture
    • Knowledge of user authentication and authorization between multiple systems, servers, and environments
    • Understanding of fundamental design principles behind a scalable application
    • Able to create database schemas that represent and support business processes
    • Strong unit test and debugging skills
    • Proficient understanding of code versioning tools such as Git
    • Knowledge of Data Engineering frameworks such as Spark, Kafka, and Airflow is a plus
    • Attention to detail
    • Leadership skills

    RESPONSIBILITIES

    • Writing reusable, testable, and efficient code
    • Design and implementation of low-latency, high-availability, and performant applications
    • Help design and implement functional requirements
    • Build efficient back-end features in Python
    • Integrate front-end components into applications
    • Implementation of security and data protection
    • Manage testing and bug fixes
    • Prepare technical documentation
    • Coach junior team members
    • Implement software enhancements and suggest improvements
    • Keep suggesting improvements and ways enhance the functioning of the software

    SOFT SKILLS

    • Good understanding of Agile Methodology and Scrum Rituals
    • Ability to work independently, think proactively, and pay attention to details.
    • Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity.
    • Able to adapt to a fast-paced technical environment
    • Energetic, motivated, and team player
    • Excellent communication skills in English – both written and spoken.
    • Ability to communicate effectively with cross-functional teams and business stakeholders

    Method of Application

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