Data Engineer

Job Title: Data Engineer

Job Description:

• Design and build scalable data pipelines using PySpark and Python

• Develop and optimize complex SQL queries for large datasets

• Implement and maintain ETL/ELT processes ensuring data quality and reliability

• Build and manage data warehouse solutions

• Work with Hadoop/Big Data ecosystems for large-scale data processing

• Collaborate with stakeholders to translate business requirements into data solutions

• Contribute to modern data/AI workflows including vector embeddings and agentic frameworks

• Work with orchestration tools like Airflow (if applicable)

Required Skills:

• Strong hands-on experience in PySpark and Python

• Advanced proficiency in SQL

• Solid understanding of Data Engineering concepts

• Experience in ETL processes and data warehousing

• Familiarity with Hadoop and Big Data technologies

• Good communication and business understanding

Good to Have:

• Experience with Apache Airflow

• Exposure to modern data platforms / MCP servers

• Understanding of agentic frameworks (LLM workflows)

• Experience with vector embeddings and semantic search

• Exposure to cloud platforms (AWS, GCP, Azure)