| Sr. Snowflake Data Engineer at Snowflake, Arizona, USA |
| Email: [email protected] |
| From: venu gopal, configusa [email protected] Reply to: [email protected] I am venu gopal from ConfigUSA, we are one of the leading IT professional services providers .I have attached the job descriptions below for your review. If these are opportunities that interest you, please call me at your earliest convenience and send me an updated copy of your resume in word format. If you are not interested, but you know someone who may be more of a fit for this position, feel free to pass along my contact information. I can be reached from Email ID: [email protected], Sr. Snowflake Data Engineer Location: 100% Remote VISA: USC/GC/H4 EAD Theres a JD below, but basically, were Seeking for Sr. Snowflake Data Engineer with experience in Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Responsibilities Collaborate closely with cross-functional teams including Data Scientists, Analysts, and Software Engineers to understand data requirements and translate them into efficient solutions using Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Design and implement end-to-end data pipelines, leveraging Kafka for real-time data streaming, Snowflake for scalable data warehousing, and Databricks for advanced analytics. Develop and maintain ETL processes using AWS Glue to facilitate seamless and reliable data extraction, transformation, and loading into Snowflake and Databricks. Optimize data models and schema designs for improved query performance within Snowflake and Databricks, while ensuring data consistency and integrity. Implement robust data security measures and access controls in alignment with company policies and industry best practices. Utilize Airflow to orchestrate and schedule data workflows, ensuring timely and accurate data processing. Monitor, troubleshoot, and enhance data pipelines, identifying and resolving performance bottlenecks, data quality issues, and other challenges. Contribute to the evolution of data warehousing strategies, encompassing data partitioning, clustering, and distribution within Snowflake and Databricks. Stay up-to-date with the latest advancements in Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services, and advocate for their effective utilization within the organization. Provide mentorship and guidance to junior data engineers, fostering their growth and facilitating knowledge sharing. Expectations Self-motivated individual who can handle ambiguous/undefined problems and think abstractly to deliver results Demonstrate a strong sense of ownership, urgency, and drive as well as the ability to work well across diverse teams. Ability to effectively articulate technical challenges and solutions to business users and other technical teams Ability to develop compelling insights and logical arguments to persuade others Critical thinking skills (understanding of the relationship between environment, objectives, goals, and priorities that drive optimal decisions) Demonstrates executive maturity and ability to communicate at all levels of the company Navigates challenging interactions with candor and through constructive debate to build support and commitment for initiatives Education/Certifications Bachelor s or higher degree in Computer Science, Information Systems, or a related field. Master s in Computer Science, Information Systems, or a related field a plus. Experience/Minimum Requirements Proven experience 8+ years as a Data Engineer, with a strong emphasis on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. In-depth understanding of Snowflake architecture, performance optimization techniques, and best practices. Proficiency in SQL and experience with database design principles. Hands-on expertise in designing, building, and maintaining complex ETL pipelines using Snowflake, Databricks, Kafka, and AWS Glue. Familiarity with data warehousing concepts and methodologies. Strong grasp of real-time data streaming principles and experience with Kafka. Competence in cloud computing and AWS services, with a focus on data-related services such as S3, Redshift, and Lambda. Proficiency in scripting and programming languages such as Python, Java, or similar. Excellent problem-solving skills and the ability to troubleshoot complex data-related issues. Strong communication skills, enabling effective collaboration within a team-oriented environment. Prior experience in mentoring junior team members is a plus. Relevant certifications in Snowflake, Databricks, AWS, or related technologies are advantageous Candidate Details Candidate Full Name (As per Passport): Contact Number: Email ID: Current Location: Work Authorization/Validity: Highest Education: Year of Passing University: Total Years of Experience: Relevant Years of Experience: USA Years of Experience: Willing To Relocate: Y/N Best time for Phone / Skype Interview:- Notice Period: LinkedIn: Hourly Pay Rate: Thanks & Regards Venu Gopal Reddy Sr. Technical Recruiter Email ID: [email protected] Keywords: access management sthree information technology green card Idaho |
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| Wed Sep 06 22:14:00 UTC 2023 |