BI Engineer

4 weeks ago

Bangalore, India VARITE Inc. Full time

Skills Required :

  • Hands-on experience in MySQL database
  • Building reports
  • Metric level changes
  • Stakeholder management
  • Data Extraction, Transformation, Loading (ETL)
Detailed Job Description for Data Extraction, Transformation, Loading (ETL):


Data Extraction :

  • Identify and extract data from various sources such as databases, APIs, flat files, etc.
  • Write SQL queries to extract relevant data from MySQL database efficiently.
  • Utilize ETL tools if applicable for extracting data from multiple sources.

Data Transformation :

  • Cleanse, validate, and transform raw data to ensure accuracy and consistency.
  • Perform data manipulation tasks such as filtering, sorting, aggregating, and joining datasets.
  • Implement business logic and transformations as per the requirements.

Data Loading :

  • Design and implement data loading processes into the target system, such as a data warehouse or reporting database.
  • Ensure data integrity and optimize loading processes for performance.
  • Schedule and automate data loading tasks to ensure timely updates.

ETL Pipeline Development :

  • Develop ETL pipelines to automate the extraction, transformation, and loading of data.
  • Monitor and troubleshoot ETL processes to identify and resolve issues promptly.
  • Optimize ETL workflows for efficiency and scalability.

Data Quality Assurance :

  • Conduct data quality checks and validations to ensure accuracy and completeness of the data.
  • Implement data quality rules and validation checks within the ETL process.
  • Collaborate with data stakeholders to address data quality issues and improve processes.

Documentation and Reporting :

  • Document ETL processes, data mappings, and transformations for future reference.
  • Generate reports and documentation to communicate ETL workflows, data lineage, and data quality metrics.
  • Provide regular updates and reports to stakeholders on ETL process performance and data quality.

Collaboration and Stakeholder Management :

  • Collaborate with cross-functional teams including data analysts, business users, and IT teams.
  • Understand business requirements and translate them into technical ETL solutions.
  • Communicate effectively with stakeholders to gather requirements, provide updates, and address concerns.

Continuous Improvement :

  • Stay updated with emerging technologies and best practices in ETL processes and tools.
  • Identify opportunities for process improvement and optimization.
  • Proactively suggest and implement enhancements to ETL pipelines to improve efficiency and reliability.
(ref:hirist.tech)

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