ERP Sales Executive

Experience: 5-8 Years

Work Mode: Remote

Job Type: Fulltime

Mandatory Skills: Python,SQL, Snowflake, Airflow, ETL, Data Pipelines, Elastic Search, & AWS.

Role Overview:

We are looking for a talented and passionate Senior Data Engineer to join our growing data team. In this role, you will play a key part in building and scaling our data infrastructure, enabling data-driven decision-making across the organization. You will be responsible for designing, developing, and maintaining efficient and reliable data pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes.

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines for ELT and ETL processes, ensuring data accuracy, completeness, and timeliness.
• Work with stakeholders to understand data requirements and translate them into efficient data models and pipelines.
• Build and optimize data pipelines using a variety of technologies, including Elastic Search, AWS S3, Snowflake, and NFS.
• Develop and maintain data warehouse schemas and ETL/ELT processes to support business intelligence and analytics needs.
• Implement data quality checks and monitoring to ensure data integrity and identify potential issues.
• Collaborate with data scientists and analysts to ensure data accessibility and usability for various analytical purposes.
• Stay current with industry best practices, CI/CD/DevSecFinOps, Scrum and emerging technologies in data engineering.
• Contribute to the development and enhancement of our data warehouse architecture

Required Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience as a Data Engineer with a strong focus on ELT/ETL processes.
• At least 3+ years of exp in Snowflake data warehousing technologies.
• At least 3+ years of exp in creating and maintaining Airflow ETL pipelines.
• Minimum 3+ years of professional level experience with Python languages for data manipulation and automation.
• Working experience with Elastic Search and its application in data pipelines.
• Proficiency in SQL and experience with data modelling techniques.
• Strong understanding of cloud-based data storage solutions such as AWS S3.
• Experience working with NFS and other file storage systems.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Requirements

Must have 1.5 years of experience in front end development in an internet startup

Deep knowledge of Angular practices and commonly used modules based on extensive work experience

Proficiency with javascript and html5

Extensive knowledge of CSS and JS methods for providing performance visual effects and keeping the frame rate above 30 fps at all times

Thorough understanding of the responsibility of the platform, database, API, caching layer, proxies and other web services used in the system

Creating custom general use modules and components which extend the elements and modules of core Angular

Ability to understand business requirements and translate them in to technical requirements

Roles and responsibilities

Delivering a complete front end application

Ensuring high performance on mobile and desktop

Writing tested, idiomatic and documented Javascript, HTML, CSS

Co-ordinating the workflow between graphic designer, HTML coder and yourself

Cooperating with the back end developer in the process of building restful API

Communicating with external webservices

Ensure high quality graphic standards and high consistency

Stay up to date on emerging technologies

Write functional requirement documents and guides

Must have skills (Angular 6, CSS, HTML, Javascript (ES5 and ES6), rest ful API, Product company / startup experience)

• Sound knowledge on sourcing skills and knowledge about paid and unpaid job sites.
• Social media hiring, volume hiring 
• 70 % non tech roles like sales, marketing , BDM, backend support roles.
• 30% of technical recruitments like Php, Java...etc
• Very good communication skills and great negotiation skills (very important)

Job description 

Quantela is seeking UI Developer in development of web based front end applications for enterprises.  

Candidate should have sound understanding of Object-Oriented JavaScript concepts and JavaScript Debugging skills.  

Good working knowledge of HTML5, CSS3, structure, and semantics. 

Experience of CSS Pre-processors like Less, Sass, SCSS. 

Experience in JavaScript & jQuery 

Must have basic knowledge of core concepts of Angular 2+ is must 

Experience in typescript Understanding of version control systems like Git, SVN. 

Good communication & analytical skills 

Candidate should have excellent written and verbal communication skill and a positive attitude. 

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred