Ecolab Hiring Drive 2023: Ecolab hiring for a job role of Data Analyst for Pune Location Jobseekers With Years Of Experience candidates can apply for this job role ASAP. The detailed eligibility 2+ yrs and application process is given below.
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. Advanced degree is a plus.
Batch: Any Batch
Salary: 10 LPA (Estimated)
Ecolab Hiring Drive 2023
Key Responsibilities:
- 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.
Skills Required:
- 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.
To Apply:Click Here
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