Description

Job Description

Job Description & Requirements:-

  • Develop systems to extract, transform, and load (ETL) data from various sources to salesforce and Profours environments-
  • Ensure the reliability, availability, and performance of data systems, including databases, data warehouses, and cloud platforms.-
  • Implement processes to monitor and ensure data accuracy, consistency, and compliance with data governance policies.-
  • Work with developers, product manager and business users to understand their data needs, define data requirements, and develop solutions that meet their requirements-
  • Identify and implement improvements to data pipelines and infrastructure to enhance performance and scalability.-
  • Identify list of Data Items for conversion-
  • Identify Data attributes (fields) for each item-
  • Create/Update data templates-
  • Populate Data templates with clean data- Create/Update data load steps-
  • Mock data load in Dev env- Modify adjust data load steps- Interact daily with business units and business owners to understand business processes and key requirements, proactively working to resolve issues with Data-
  • Develop automation scripts to streamline data processing tasks.-
  • Monitor and troubleshoot data-related issues-
  • Identify current data gaps- Prepare and analyse data conversion requirements

Skill and Experience Requirements:-

  • Bachelors or masters degree in computer science, Data Science, or related field or equivalent work experience-
  • Proven experience a Data engineer, Data analyst, or similar role (3+ years)-
  • Expertise in Salesforce data structures and API integration-
  • Experience with Salesforce Data Loader, Workbench, and reporting tools-
  • Familiarity with ETL tools and ELT frameworks for data transformation and loading-
  • Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Proficiency in SQL, Python, and potentially other languages like Java or Scala.-
  • Experience with various database systems, including relational databases (SQL), NoSQL databases, and data warehousing solutions.-
  • Understanding of data warehousing concepts, technologies, and best practices.-
  • Ability to design and implement data models to support business needs.-
  • Understanding of data governance principles and security best practices.-
  • Knowledge of software engineering principles, such as design patterns, version control, and testing methodologies.-
  • Excellent troubleshooting, analysis and problem-solving skills-
  • Ability to effectively prioritize and escalate issues as required-
  • Excellent written and verbal communication skills-
  • Detailed, organized, and results-oriented-
  • Ability to multi-task and perform effectively under pressure-
  • Ability to work effectively in a fast paced, high energy, team-oriented environment.-
  • Strong communication skills-
  • Understanding of Manufacturing and/or Supply Chain Business processes is preferred but not required- Client facing

Preferred Qualifications:-

  • Salesforce certifications - - Salesforce Certified Data Architect, Salesforce Administrator).-
  • Understanding of Manufacturing and/or Supply Chain Business processes is preferred but not required-
  • Certifications in Data Architecture, Cloud Computing, or Database Management.-
  • Experience with big data technologies and AI-driven data solutions.-
  • Knowledge of data privacy regulations (e.g., GDPR, CCPA).


 

Key Skills
Education

Any Graduate

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