Lead Consultant
1 day ago
Job Description Inviting applications for the role of Lead Consultant-Sr.Data Engineer (DBT+Snowflake) Responsibilities - Develop, implement, and optimize data pipelines using Snowflake, with a focus on Cortex AI capabilities. - Extract, transform, and load (ETL) data from various sources into Snowflake, ensuring data integrity and accuracy. - Implement Conversational AI solutions using Snowflake Cortex AI to facilitate data interaction through ChatBot agents. - Collaborate with data scientists and AI developers to integrate predictive analytics and AI models into data workflows. - Monitor and troubleshoot data pipelines to resolve data discrepancies and optimize performance. - Utilize Snowflake%27s advanced features, including Snowpark, Streams, and Tasks, to enable data processing and analysis. - Develop and maintain data documentation, best practices, and data governance protocols. - Ensure data security, privacy, and compliance with organizational and regulatory guidelines. - Bachelor%27s degree in computer science, Data Engineering, or a related discipline. - Experience in data engineering, including a minimum and working extensively with Snowflake. - Demonstrated expertise with Snowflake Cortex AI, particularly in data extraction, chatbot development, and Conversational AI solutions. - Strong skills in SQL, Python programming, and data modelling techniques. - Hands-on experience with data integration platforms such as Matillion, Talend, or Informatica. - Familiarity with cloud environments including AWS, Azure, or Google Cloud Platform. - Excellent problem-solving abilities, with a focus on ensuring data quality and optimizing system performance. - Effective communicator with proven ability to collaborate within cross-functional teams. - Proficient in utilizing DBT's testing and documentation features to guarantee the accuracy and reliability of data transformations. - Solid understanding of data lineage and metadata management, leveraging DBT's lineage tracking capabilities to document data workflows. - Knowledge of software engineering best practices applied to DBT development, including version control, code reviews, and automated testing. - Experience designing and building data ingestion pipelines. - Skilled in using Snowflake utilities such as SnowSQL, Snowpipe, bulk copy, Snowpark, Tasks, Streams, Time Travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures, UDFs, and Snowsight. - Proven expertise in implementing Change Data Capture (CDC) or Slowly Changing Dimensions (SCD) Type 2. - Experience with Airflow or similar workflow orchestration tools for scheduling and managing ETL processes. - Familiarity with repository management tools like GitHub, GitLab, or Azure Repos is a plus. Qualifications we seek in you Minimum qualifications - B.E./ Masters in Computer Science, Information technology, or Computer engineering or any equivalent degree with good IT experience and relevant of working experience as a Sr. Data Engineer with DBT+Snowflake skillsets - Skill Matrix: - DBT (Core or Cloud), Snowflake, AWS/Azure, SQL, ETL concepts, Airflow or any orchestration tools, Data Warehousing concepts - - - - -
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