Data Engineer

March 19

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Aryng

We are a SWAT Data science team. We solve complex business problems, develop enterprise Data DNA and deliver rapid ROI.

Analytics training • Web Analytics • Business Analytics • Google Analytics • Analytics consulting

11 - 50

Description

• Should have implement asynchronous data ingestion, high volume stream data processing, and real-time data analytics using various Data Engineering Techniques. • Implement application components using Cloud technologies and infrastructure. • Assist in defining the data pipelines and able to identify bottlenecks to enable the adoption of data management methodologies. • Implementing cutting-edge cloud platform solutions using the latest tools and platforms offered by GCP, AWS, and Azure.

Requirements

• 5+ years of data engineering experience is a must. • 2+ years implementing and managing data engineering solutions using Cloud solutions GCP/AWS/Azure or on-premise distributed servers • Should be comfortable working and interacting with clients • 2+ years’ experience in Python. • Must be strong in SQL and its concepts. • Experience in Big Query, Snowflake, Redshift, DBT. • Strong understanding of data warehousing, data lake, and cloud concepts. • Excellent communication and presentation skills • Excellent problem-solving skills, highly proactive and self-driven • Consulting background is a big plus. • Must have a B.S. in computer science, software engineering, computer engineering, electrical engineering, or a related area of study • Experience in some of the following: Apache Beam, Hadoop, Airflow, Kafka, Spark • Experience in Tableau, Looker, or other BI tools is preferred

Benefits

• Direct Client Access • Flexible work hours • Rapidly Growing Company • Awesome work culture • Learn From Experts • Work-life Balance • Competitive Salary • Executive Presence • End to End Problem Solving • 50%+ Tax Benefit • 100% Remote company • Flat Hierarchy • Opportunity to become a thought leader

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