Data Engineer

Work Experience Min - 5 years

Work Experience Max - 8 years

Responsibilities:

• Design and develop data pipelines for efficient data processing and analysis.
• Write complex SQL queries to extract, manipulate, and transform data from diverse sources.
• Utilize Python and Pyspark for data processing, ETL, and analytics tasks.
• Implement and maintain data warehousing solutions to support business intelligence and reporting needs.
• Collaborate with cross-functional teams to ensure data integrity, quality, and reliability.
• Perform data integration and migration tasks to streamline data flows across systems.

Preferred:

• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
• Knowledge of distributed computing frameworks like Hadoop or Spark.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Understanding of machine learning concepts and techniques.