About this role
Job Title: Data Engineer
Job Description:
• Design, build, and maintain scalable data pipelines using PySpark and Python
• Develop and optimize complex SQL queries for large datasets
• Implement and manage ETL/ELT processes ensuring data quality and reliability
• Collaborate with business and product teams to translate data requirements into solutions
• Build and maintain data warehouse solutions
• Handle large-scale data processing using Hadoop/Big Data technologies
• Perform performance tuning and optimization of data workflows
Required Skills:
• Strong hands-on experience with PySpark and Python
• Advanced proficiency in SQL
• Solid experience in ETL processes and data warehousing
• Familiarity with Hadoop ecosystem and Big Data technologies
• Experience working with large datasets in distributed environments
• Good communication and business understanding
Good to Have:
• Experience with Apache Airflow
• Exposure to cloud platforms (AWS, GCP, Azure)
• Knowledge of data lakes and modern data architectures
• Experience with streaming tools (Kafka, Spark Streaming)
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