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  • Posted: Mar 23, 2023
    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 consultan...
    Read more about this company

     

    Data Warehousing(Hands-On)(Trainer)

    QUALIFICATIONS, SKILLS AND REQUIREMENTS

    • Bachelor's or Master's degree in Computer Science, Engineering, or related field
    • Minimum of 2-3 years of experience as a Data warehousing Engineer or related roles.
    • Strong understanding of data warehousing concepts and best practices
    • Strong problem solving and analytical skills
    • Ability to communicate effectively with teams and project coordinators
    • Proven ability to take ownership of projects
    • Ability to work in a fast paced environment
    • Any experience teaching/training people is a plus
    • Experience with data warehousing solutions like snowflake
    • Proficiency in  SQL and experience with data management systems
    • Experience with concepts like cdc, scd 
    • Knowledge of ELT

    RESPONSIBILITIES

    • Design detailed educational course content around Data Warehousing
    • Create engaging training course content (slides, code examples, quizzes and activities)
    • Set learning objectives and determine criteria for evaluation.
    • Organise additional resources for instructors and trainees
    • Provide manuals and guidelines on how to use training materials 
    • Follow up with trainees and instructors after each course and collect feedback

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    Analytics Engineer (Hybrid)

    Job Description

    We are looking for an Analytics Engineer to join our team and work with our data team to develop, optimize and maintain our organization's cloud data lake, data warehouse and data marts. You will be responsible for bringing robust, efficient, and integrated data models and data products to life.

    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 basic knowledge of the cloud preferably AWS
    • 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
    • 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)
    • 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 unstructured 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

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    AWS Data Engineer (Relocation and Hybrid)

    PROFILE

    • A bachelor’s degree in computer science, an engineering discipline, or a related study
    • At least 8+ years working within the Business Intelligence domain
    • At least 5+ years working with AWS Cloud using data services such as IAM, Code Pipeline, S3, Redshift,  DMS, Appflow, Lake Formation, Data Migration Service, Step Functions, Lambda, SNS, and Event Bridge.
    • At least 1 AWS Cloud certification

    TECHNICAL SKILLS

    • Proficiency in ETL development using Python and SQL.
    • 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 Redshift, BigQuery, or Snowflake.
    • Experience with data flow orchestration tools such as Apache Airflow 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 »

    DevOps Engineer (Hybrid)

    Job Description

    • We are looking for a Cloud Engineer to join our team and work with our data team to optimise, implement, and maintain our organisation’s cloud-based systems. You will be responsible for deploying and debugging cloud stacks, educating teams on new cloud initiatives, and ensuring the security of the cloud infrastructure.

    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 3 years of experience in the field of cloud computing.
    • At least 3 years of experience in architecting, designing, developing, and implementing cloud solutions on AWS platforms
    • Experience with CI/CD systems.
    • Experience with SysOps.
    • AWS, and GCP certifications preferred.

    TECHNICAL SKILLS

    • Proficiency in Programming code for the cloud systems in languages such as C++, Java, and Python (Python is a must).
    • Experience with configuration management tools (Ansible, Puppet/Chef)
    • Experience in using terraform and cloudformation
    • Excellent knowledge and experience with object-oriented programming
    • Hands-on experience in coding to implement essential security measures
    • Hands-on experience in Developing infrastructure documentation, technology mappings in compliance with SOPs
    • Design, develop, and deploy modular cloud-based systems
    • Hands-on experience with DevOps, CI/CD and Infrastructure as Code.
    • Hands-on experience in Providing backup and recovery support and guidance for cloud resources.
    • Experience with Performing audit checks for security, process and resource compliance.
    • Experience with Conducting assessments, building blueprints and roadmaps, building proofs of concept, and writing technical points of view.
    • Knowledge of Producing data-based reports on technology risk for senior management.
    • Strong familiarity with systems engineering, cluster computing and programming theory is an advantage.
    • Experience with SaaS processes and products is an advantage.
    • Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics.
    • Understanding of and experience with the five pillars of a well-architected framework.
    • Experience with developing  and implementing technical efforts to design, building, and deploying AWS applications, including large-scale data processing

    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.
    • Ability to work in an environment using cloud systems.
    • Participate in all aspects of the software development lifecycle for AWS solutions, including planning, requirements, development, testing, and quality assurance.
    • Ability 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

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    Python Engineer (Hybrid)

    Job Description

    • 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 experience with Python frameworks (e.g. Django, Flask, Pandas, Apache Spark)
    • Familiarity with some ORM (Object Relational Mapper) libraries
    • Familiarity with Amazon Web Services (AWS) 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 to enhance the functioning of the software

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    Data Processing Engineer(Trainer)

    QUALIFICATIONS, SKILLS AND REQUIREMENTS

    • Minimum of 2-3 years of experience as a Data Processing Engineer or related roles.
    • Strong understanding of data processing concepts and best practices
    • Strong problem solving and analytical skills
    • Ability to communicate effectively with teams and project coordinators
    • Proven ability to take ownership of projects
    • Ability to work in a fast paced environment
    • Any experience teaching/training people is a plus
    • Experience with Pandas
    • Experience working with Spark and pyspark
    • Experience with ETL/ELT
    • Knowledge of Data file types
    • Experience working with Version Control using Github/Gitlab

    RESPONSIBILITIES

    • Design detailed educational course content around Data Processing
    • Create engaging training course content (slides, code examples, quizzes and activities)
    • Set learning objectives and determine criteria for evaluation.
    • Organise additional resources for instructors and trainees
    • Provide manuals and guidelines on how to use training materials 
    • Follow up with trainees and instructors after each course and collect feedback

    go to method of application »

    Strategy Sales and Growth Specialist

    Job Description

    • You will be involved with developing strategies and ensure the growth of our value streams. You should have excellent research, communication and negotiation skills and be customer service oriented.
    • Ultimately, you should be able to grow our business value streams by building successful, long-term client relationships.

    QUALIFICATIONS, SKILLS AND REQUIREMENTS

    • BSc degree in Business Administration, Marketing or relevant field.
    • Minimum of 3 years experience in Sales, or Business development.
    • Minimum of 3 years experience Building and managing relationships with clients as well as prospects
    • Knowledge of CRM software and MS Office (MS Excel in particular).
    • Proven work experience as a Sales account manager or a Growth Specialist.
    • Hands on experience in sales and an ability to deliver excellent customer experience.
    • Understanding of sales performance metrics.
    • Excellent communication and negotiation skills.
    • An ability to deliver projects and answer inquiries on time.
    • Business acumen with a problem-solving attitude.
    • Knowledge of Basic Marketing principles.
    • Proven track record of closing sales deals with prospects.
    • Basic understanding of sales performance metrics

    RESPONSIBILITIES

    • Manage a portfolio of accounts to achieve long-term success.
    • Develop positive relationships with clients.
    • Coming up with sales strategy to grow the value streams
    • Act as the point of contact and handle clients’ individual needs.
    • Generate new business using existing and potential clients networks.
    • Resolve conflicts and provide solutions to clients in a timely manner.
    • Report on the status of accounts and transactions.
    • Set and track sales account targets, aligned with company objectives.
    • Monitor sales metrics (e.g. quarterly sales results and annual forecasts).
    • Suggest actions to improve sales performance and identify opportunities for growth.
    • Developing relationships with recruitment companies, multinational companies and SMEs in the DATA/Cloud related industry.
    • Use sales, business development, marketing techniques and networking to attract new client companies
    • Listen to and interpret client requirements, developing commercially sound solutions
    • Meet potential clients by growing, maintaining, and leveraging your network.
    • Identify potential clients, and the decision makers within the client organization.
    • Update and refine our sales and growth strategy
    • Research and build relationships with new clients.
    • Work with teams to develop proposals that speak to the needs of clients and prospects.
    • Produce excellent quality, well written documents that add value to an assignment.
    • Be responsible for all activities revolving around following up and converting aspiring prospects, corporate clients and partners into paying clients.
    • Oversee negotiation of deals with clients.
    • Manage & maintain excellent & long term relationships with clients that are built on trust

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    Backend Software Engineer-Python(Trainer)

    QUALIFICATIONS, SKILLS AND REQUIREMENTS

    • Minimum of 2-3 years of experience as a Software Engineer or related roles.
    • Ability to communicate effectively with teams and project coordinators
    • Proven ability to take ownership of projects
    • Ability to work in a fast paced environment
    • Any experience teaching/training people is a plus
    • Experience with databases like postgreSQL
    • Experience writing APIs
    • Experience writing unittests
    • Knowledge of odbc/jdbc
    • Experience working with Version Control using Github/Gitlab

    RESPONSIBILITIES

    • Design detailed educational course content around Python programming
    • Create engaging training course content (slides, code examples, quizzes and activities)
    • Set learning objectives and determine criteria for evaluation.
    • Organise additional resources for instructors and trainees
    • Provide manuals and guidelines on how to use training materials 
    • Follow up with trainees and instructors after each course and collect feedback

    Method of Application

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