Job
Description
Job Description: We are looking for 12+years experienced candidates for this role. A minimum of 12+ years of experience in data engineering, encompassing the development and scaling of data warehouse and data lake platforms. Working hours - 8 hour, with a few hours of overlap during EST Time zone. This overlap hours is mandatory as meetings happen during this overlap hours. Working hours will be 12 PM - 9 PM Responsibilities include: Lead the design and architecture of data solutions leveraging Snowflake, ensuring scalability, performance, and reliability. Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models. Develop and maintain data architecture standards, guidelines, and best practices, including data governance principles and DataOps methodologies. Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments. Provide technical guidance and mentorship to data engineering teams, fostering skill development and knowledge sharing. Conduct performance tuning and optimization of Snowflake databases and queries. Stay updated on emerging trends and advancements in Snowflake, cloud data technologies, data governance, and DataOps practices. Certifications: Bachelors or Master’s degree in Computer Science, Information Systems, or related field. Certifications related Snowflake (e.g., SnowProcore/Snowpro advanced Architect/Snowpro advance Data Engineer ) are desirable but not mandatory. Primary Skills: Mandatory Skills Snowflake experience, Data Architecture experience, ETL process experience, Large Data migration solutioning experience Extensive experience in designing and implementing data solutions using Snowflake, DBT Proficiency in data modeling, schema design, and optimization within Snowflake environments Strong understanding of cloud data warehousing concepts and best practices, particularly with Snowflake Expertise in Python/Java/Scala, SQL, ETL processes, and data integration techniques, with a focus on Snowflake Familiarity with AWS, Azure, and GCP Demonstrated experience in implementing data governance frameworks and DataOps practices Working experience in SAP environments Familiarity with real-time streaming technologies and Change Data Capture (CDC) mechanisms Knowledge of data governance principles and DataOps methodologies Proven track record of architecting and delivering complex data solutions in cloud platforms/Snowflake Secondary Skills: Experience with data visualization tools (e.g., Tableau, Power BI) is a plus Knowledge of data security and compliance standards Excellent communication and presentation skills, with the ability to convey complex technical concepts
