Data Engineer -remote
Sacramento, California, United States
tekHouse
Application Design, Mobile design, ERP, SAP Integration, Custom Application design, Enterprise Application Design, Shopify6+ months
Remote
Rate: Open
LinkedIn and Education details must
Job Description
· Establish data model design based on business requirements. Should be hands on.
· Develop end to end streaming and batch data analytics pipelines. From data ingestion, processing, storage, analysis to visualization.
· Understand big-data principles and best practices
· Perform code reviews, ensure code quality and encourage a culture of excellence.
· Coach team members in the design of database solutions/optimization/Schema design
· Troubleshoot performance and optimize database design.
· Be a front face of the company in front of customers and prospects.
Requirements
Required Skills
· 2+ years of strong technology experience in the field of transactional data and analytics systems
· Should understand and be able to command architecture design for transactional and analytics systems.
· Strong SQL skills /technologies (SQL Server, Oracle, Redshift and Bigquery)
· Cloud Experience - Should have experience with Cloud data products of GCP (BigQuery, Dataflow)
· Proficient in building and optimizing ‘big data’ data pipelines, architectures and datasets using technologies like Spark, Hive, AWS Data Pipeline, Azure Data Factory, BigQuery, and Apache Airflow etc
· Experience in building reusable and metadata driven components for data ingestion, transformation and delivery
· Experience in Agile Methodologies
· Familiarity with source repositories (Git, BitBucket etc.)
· Excellent communication skills
Desired Skills:
· Google Cloud Certified Professional Data Engineer or Relevant certification in AWS/Azure
· Preferably from Media or Gaming Background.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS Azure Big Data BigQuery Bitbucket Data Analytics Dataflow Data pipelines GCP Git Google Cloud Model design Oracle Pipelines R Redshift Spark SQL Streaming
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