Ecolab Hiring Drive 2024 For Developer Data Analyst Procurement Logistics | Location Pune

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Ecolab Hiring Drive 2024: Ecolab Hiring Drive 2024 for its Developer Data Analyst Procurement Logistics. Ecolab Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in computer science, Information Systems, or a related field. if you are interested, please apply as soon as possible.

Company Name: Ecolab

Role: Developer Data Analyst

Location: Pune

Experience: 2+years

Qualification: Bachelor’s degree in computer science, Information Systems, or a related field 

Batch: Any

Job Type: Full Time

Salary: Best in the Industry

Ecolab Hiring Drive 2024 

Job Description:

  • You see things a little differently. So do we. Our Analytics & Digital team (ADS) is responsible for driving innovation via automation, strategic business insights and process optimization. 
  • Ecolab Company has an opening for a Logistics Data Engineer in our Procurement Analytics and Digital Solutions group located in Pune, IN. If you are a passionate professional that is seeking opportunity, advancement, and a rewarding career we invite you to apply.
  • This is a fantastic opportunity to join a highly recognized global growth company offering competitive compensation and benefits in addition to career growth. 
  • The individual will work with the Digital Capabilities team and will be responsible for designing, developing, and maintaining data pipelines and infrastructure to support our logistics procurement analytics operations.
  • This role will involve working closely with cross-functional teams to ensure data accuracy, reliability, and availability for analysis and reporting purposes.
  • The ideal candidate should possess strong technical skills and a passion for working with data. 
  • The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy, and healthy environments. 
  • The ability to make an impact and shape your career with a company that is passionate about growth. 
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best.
  • This is a fantastic opportunity to join a highly recognized global growth company offering competitive compensation and benefits in addition to career growth. 

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  • Bachelor’s degree in computer science, Information Systems, or a related field. Advanced degree is a plus. 
  • Proven 2+years of experience as a Data Engineer, preferably in a logistics or supply chain environment. 
  • Strong programming skills in languages such as Python, SQL. Experience with data integration tools and frameworks is desirable. 
  • Exposure to Azure / AWS / FIVETRAN cloud service platforms. 
  • Exposure to Snowflake
  • Exposure to SAP tables and logistic module
  • Proficiency in data modeling and database design principles.  
  • Familiarity with ETL processes, data warehousing concepts, and business intelligence tools. 
  • Understanding of logistics operations, supply chain management, and related data domains. 
  • Excellent analytical and problem-solving skills with attention to detail. 
  • Strong communication and collaboration skills to work effectively with cross-functional teams. 
  • Ability to adapt to a fast-paced environment and handle multiple projects simultaneously. 


  • Develop and maintain new data pipelines using Azure Data Factory: Design, build, and maintain scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse.
  • This includes handling large volumes of structured and unstructured data related to logistics operations. Data modeling and architecture:
  • Collaborate with stakeholders to understand logistics data requirements and design efficient data models and architecture that support analytics and reporting needs.
  • Ensure data integrity, accuracy, and consistency throughout the data lifecycle. 
  • Data quality and validation:
  • Implement data validation processes and quality checks to identify and resolve data anomalies, inconsistencies, and errors.
  • Work closely with business users to understand data issues and provide timely resolutions.
  • Data integration and API development
  • Integrate data from external systems, vendors, and partners through APIs or other data integration methods.
  • Develop and maintain data interfaces to enable seamless data exchange between systems. 
  • Performance optimization: Identify and implement strategies to optimize data processing and query performance to ensure timely data availability for analytics and reporting purposes.
  • Monitor and fine-tune the performance of data pipelines to maintain efficiency and reliability. 
  • Documentation and knowledge sharing: Document data engineering processes, data models, and technical specifications.
  • Share knowledge and best practices with the team to foster a collaborative and data-driven culture. 
  • Collaboration and cross-functional support: Collaborate with cross-functional teams, including logistics operations, business analysts, data scientists, and IT, to understand their data needs and provide technical support and guidance.
  • Participate in project discussions and contribute to data-driven decision-making processes. Lead the development of new data products empowering the building of new Logistics Analytics.

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