• Develop and maintain ETL/ELT pipelines to extract, transform, and load data 
from various sources
• Collaborate with analytics engineers and data scientists to structure data 
efficiently for reporting and advanced analytics
• Build and optimize the core data warehouse model to ensure scalability, 
performance, and maintainability
• Implement data validation and monitoring checks to maintain data quality and 
consistency
• Partner with the data engineering team to enhance data workflows and 
improve system performance
• Work with big data technologies, such as Apache Spark, Hadoop, and other 
distributed computing frameworks
• Support the integration of both structured and unstructured data sources into 
the enterprise data platform
• Document data pipelines and maintain data lineage tracking to support data 
transparency and governance initiatives

Skills

• Educational Background:
o Bachelor's degree in business or any related field

• Experience:
o 1-3 Years of experience

• Technical Proficiency:
o 1+ year of experience in SQL and database management
o Experience with ETL/ELT processes and data integration
o Familiarity with big data tools such as Apache Spark, Hadoop, or other 
distributed processing frameworks
o Hands-on experience with data warehouses (e.g., Snowflake, Redshift, 
Big Query, SQL Server)
o Proficient in Python or Scala for data processing
o Experience using workflow orchestration tools (e.g., Apache Airflow, 
NiFi, or Prefect)
o Understanding of data modeling and data governance principles