Data Engineer

Job Description

Skechers is looking for a Data Engineer with both conceptual and hands-on experience of providing business critical data for reporting, BI, and analytics initiatives.An ideal candidate must be enthused about all spectrums of data development, including data integration, data processing, ETL/ELT, data modeling, and delivering data to business reporting. The candidate will be a quick learner, collaborative, and exhibit data driven behavior.

• As a part of the Skechers Data and Analytics team you will work with key stakeholders to deliver our goal of providing business critical data for reporting, BI and analytics.
• To achieve this goal you will be involved in the design and implementation of the full cycle of data services from data ingestion, data processing, and datadelivery for analytical purposes.
• You will work with internal data & analytics and business teams on identifying and building applications that will enable data decisions.
• Represent Data Engineering in settings where in depth technical expertise is needed such as knowledge transfers, working sessions, and interactions with business teams.

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Qualifications

• Experience in end to end data pipelining
• Programming experience in Python/Java/ Scala/Go or similar programming languages
• Working experience with CDC tools such as Qlik replicate/Debezium/Golden Gate
• Hands on experience working in AWS/Azure/GCP
• A solid understanding of NoSQL and RDMS data stores
• Strong skills in SQL
• Experience of distributed systems driving large-scale data processing and analytics
• Experience with AWS catalog or similar – Athena/Glue/Lambda/EMR
• Good working experience in Spark
• Experience working with SAAS Data Warehouses Snowflake/ Redshift/Big Query
• Experience with Linux KSH/bash scripting
• Experience with Data modeling

• Experience in event processing such Apache Kafka, Kinesis, Redpanda.
• Experience with DevOps process and have used GitHub, Jenkins and JFrog
• Exposure to SAAS products – Databricks, Astronomer, and Confluent
• Experience with any ANSI SQL based engine for Big Data

• 2 + years of software development experience with proficiency in Python, Scala or Java
• 2+ years of experience defining, designing and delivering data pipelines and solutions
• 2+ years of experience working with Linux based operating systems
• 2+ years relevant experience developing and integrating frameworks and database technologies that support highly scalable data processing
• 2+ years of programming experience with Python / Java
• At least 2 years of experience working within cloud environments, preferably AWS
• 2+ year experience with cloud-based data warehousing systems (e.g. Snowflake / Redshift)
• Proficient in any flavor of SQL
• Demonstrable ability in data modeling, ETL development, data warehousing, batch, and real time data processing
• Demonstrable experience with Stream Processing and workload management for data transformation, augmentation, analysis, etc.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for thejobposition, to perform the essential functions.

Additional Information

While performing the duties of this job, the employee is regularly required to stand; use hands to finger, handle, or feel, and talk or hear. The employee frequently is required to walk; sit, reach with hands and arms, and stoop, kneel. The employee is occasionally required to sit for long period of times.