Senior Associate Azure Data Engineer

As an Azure Data Engineer with 4-7 years of experience, your role will involve developing and maintaining data solutions on Azure. You will work with stakeholders to gather requirements, develop data pipelines using Azure Data Factory and Databricks, migrate data to Azure Data Lake, and optimize data processing workflows for performance and scalability. Collaboration with data architects and team members to ensure data quality and integrity will be essential. Key Responsibilities: - Develop and implement data pipelines using Azure Data Factory and Databricks - Gather requirements from stakeholders and translate them into technical solutions - Migrate data from various sources to Azure Data Lake - Optimize data processing workflows for performance and scalability - Ensure data quality and integrity throughout the data lifecycle - Collaborate with data architects and team members to design and implement data solutions Qualifications Required: - Strong experience with Azure Data Services such as Azure Data Factory (ADF), Synapse Analytics, and Databricks - Proficiency in SQL, data transformation, and ETL processes - Hands-on experience with Azure Data Lake migrations and Python/Pyspark - Strong problem-solving and analytical skills - Excellent communication and teamwork skills Company Additional Details: The company prefers candidates with Azure Data Engineer Associate certification and Databricks Certification. The mandatory skill sets include proficiency in Azure, ADF, and SQL, while preferred qualifications include 4-7 years of experience and educational qualifications like BE/BTECH, ME/MTECH, MBA, MCA. Note: Additional details about the company were not provided in the job description. As an Azure Data Engineer with 4-7 years of experience, your role will involve developing and maintaining data solutions on Azure. You will work with stakeholders to gather requirements, develop data pipelines using Azure Data Factory and Databricks, migrate data to Azure Data Lake, and optimize data processing workflows for performance and scalability. Collaboration with data architects and team members to ensure data quality and integrity will be essential. Key Responsibilities: - Develop and implement data pipelines using Azure Data Factory and Databricks - Gather requirements from stakeholders and translate them into technical solutions - Migrate data from various sources to Azure Data Lake - Optimize data processing workflows for performance and scalability - Ensure data quality and integrity throughout the data lifecycle - Collaborate with data architects and team members to design and implement data solutions Qualifications Required: - Strong experience with Azure Data Services such as Azure Data Factory (ADF), Synapse Analytics, and Databricks - Proficiency in SQL, data transformation, and ETL processes - Hands-on experience with Azure Data Lake migrations and Python/Pyspark - Strong problem-solving and analytical skills - Excellent communication and teamwork skills Company Additional Details: The company prefers candidates with Azure Data Engineer Associate certification and Databricks Certification. The mandatory skill sets include proficiency in Azure, ADF, and SQL, while preferred qualifications include 4-7 years of experience and educational qualifications like BE/BTECH, ME/MTECH, MBA, MCA. Note: Additional details about the company were not provided in the job description.