Data Engineer

Key Responsibilities:Design, develop, and maintain scalable data pipelines and ETL/ELT processes.Work with large datasets using SQL, Python, and data engineering tools.Develop and optimize data models, data warehouses, and databases.Work with cloud platforms such as Azure, AWS, or GCP.Ensure data quality, performance, security, and reliability.Collaborate with Data Scientists, Analysts, Developers, and business teams.Mandatory Skills:Strong SQL and PythonETL/ELT and data pipeline developmentExperience with Azure/AWS/GCPData warehousing conceptsExperience with Spark/PySparkGood understanding of databases and data modelingKnowledge of Git and CI/CD is an advantage.