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346 WN Infotech Jobs

Data Warehouse Engineer

1-3 years

Noida, Pune, Gurgaon / Gurugram + 1 more

1 vacancy

Data Warehouse Engineer

WN Infotech

posted 5d ago

Job Description

Job Summary

As a Data Warehouse Engineer at Web Neural Infotech, you will be responsible for designing, implementing, and maintaining the organization's data warehouse solutions. Your role will involve developing ETL processes, optimizing data workflows, and ensuring data accuracy, scalability, and availability to support analytics and reporting needs. You will work closely with data scientists, analysts, and other stakeholders to build a robust foundation for AI, ML, and Big Data applications.

This role is ideal for freshers eager to start their career in data engineering and experienced professionals looking to work on cutting-edge data solutions in a dynamic environment.

Your Role and Responsibilities
  • Data Warehouse Design : Architect and implement scalable data warehouse solutions to support business intelligence and analytics.
  • ETL Processes : Develop and maintain efficient ETL workflows to extract, transform, and load data into the data warehouse.
  • Data Modeling : Design and optimize star, snowflake, and other schema models to meet reporting and analytics needs.
  • Data Integration : Integrate data from various sources, including relational databases, NoSQL databases, APIs, and third-party systems.
  • Performance Optimization : Monitor and optimize the performance of data warehouses to ensure fast query responses and data retrieval.
  • Data Governance : Implement data quality, security, and compliance measures to safeguard sensitive information.
  • Collaboration : Work closely with data analysts, business intelligence teams, and other developers to align solutions with organizational goals.
  • Documentation : Maintain detailed documentation of data warehouse designs, ETL processes, and performance metrics.
  • Cloud Integration : Utilize cloud-based data warehouse platforms for storage, scalability, and processing.
  • Required Technical and Professional Expertise
    • Data Warehouse Tools : Experience with tools like Amazon Redshift, Snowflake, Google BigQuery, or Microsoft Azure Synapse.
    • ETL Frameworks : Proficiency in ETL tools such as Apache NiFi, Talend, Informatica, or AWS Glue.
    • SQL Expertise : Strong skills in SQL for querying, indexing, and data manipulation in data warehouses.
    • Programming Knowledge : Proficiency in Python, Java, or Scala for automation and custom workflows.
    • Big Data Platforms : Familiarity with Hadoop, Spark, or Kafka for large-scale data processing.
    • Data Modeling : Knowledge of designing efficient schemas, including star and snowflake models.
    • Cloud Platforms : Experience with cloud environments like AWS, Google Cloud, or Azure.
    • Version Control : Proficiency in using Git for managing and versioning scripts.
    Qualification & Experience Required
    • Education : Bachelor s degree in Computer Science, Data Engineering, or related fields. A Master s degree is a plus.
    • Certifications (Preferred) :
      • Certifications like AWS Certified Data Analytics - Specialty , Google Cloud Professional Data Engineer , or equivalent.
    • Experience :
      • Freshers with a strong understanding of data warehousing concepts and hands-on project experience are encouraged to apply.
      • 1-3 years of experience in data warehousing or a related role is preferred.

    Employment Type: Full Time, Permanent

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