Cloud Specialist

Role Overview: As a Data Lead specializing in Azure Data Factory (ADF) and Databricks, you will play a pivotal role in the design, implementation, and optimization of enterprise data solutions. You will lead technical initiatives to ensure seamless data integration, high-quality data pipelines, and advanced analytics capabilities, directly supporting strategic objectives and digital transformation for HCLTechs clients. This is a highly visible role, offering the opportunity to shape the data landscape within a fast-paced, innovative environment. Key Responsibilities: - Lead the end-to-end design, development, and deployment of data solutions utilizing Snowflake, Azure Data Factory (ADF), and Databricks. - Collaborate with cross-functional teams to gather business and technical requirements, architect scalable data pipelines, and ensure data quality and integrity. - Provide hands-on technical leadership, guidance, and mentorship to team members, promoting best practices in data engineering and platform utilization. - Troubleshoot and resolve complex issues related to data pipelines, transformation logic, and data storage across Snowflake, ADF, and Databricks environments. - Stay abreast of industry trends, emerging technologies, and best practices; proactively recommend and implement enhancements to existing data processes and architectures. - Ensure adherence to project timelines, deliverables, and quality standards, while managing stakeholder expectations effectively. - Drive process improvements and automation initiatives to increase operational efficiency and reliability. - Maintain comprehensive documentation and participate in code reviews to ensure maintainability and knowledge sharing. Qualifications Required: - Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. - Relevant certifications in Azure, Snowflake, or Databricks (preferred). Additional Details: - Ability to work from office 5 days a week for the initial 6 months (Office Location: WTC, Kharadi, Pune). - Experience working in a multinational or large-scale enterprise environment is a plus. - Exposure to Agile methodologies and DevOps practices is advantageous. Role Overview: As a Data Lead specializing in Azure Data Factory (ADF) and Databricks, you will play a pivotal role in the design, implementation, and optimization of enterprise data solutions. You will lead technical initiatives to ensure seamless data integration, high-quality data pipelines, and advanced analytics capabilities, directly supporting strategic objectives and digital transformation for HCLTechs clients. This is a highly visible role, offering the opportunity to shape the data landscape within a fast-paced, innovative environment. Key Responsibilities: - Lead the end-to-end design, development, and deployment of data solutions utilizing Snowflake, Azure Data Factory (ADF), and Databricks. - Collaborate with cross-functional teams to gather business and technical requirements, architect scalable data pipelines, and ensure data quality and integrity. - Provide hands-on technical leadership, guidance, and mentorship to team members, promoting best practices in data engineering and platform utilization. - Troubleshoot and resolve complex issues related to data pipelines, transformation logic, and data storage across Snowflake, ADF, and Databricks environments. - Stay abreast of industry trends, emerging technologies, and best practices; proactively recommend and implement enhancements to existing data processes and architectures. - Ensure adherence to project timelines, deliverables, and quality standards, while managing stakeholder expectations effectively. - Drive process improvements and automation initiatives to increase operational efficiency and reliability. - Maintain comprehensive documentation and participate in code reviews to ensure maintainability and knowledge sharing. Qualifications Required: - Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. - Relevant certifications in Azure, Snowflake, or Databricks (preferred). Additional Details: - Ability to work from office 5 days a week for the initial 6 months (Office Location: WTC, Kharadi, Pune). - Experience working in a multinational or large-scale enterprise environment is a plus. - Exposure to Agile methodologies and DevOps practices is advantageous.