Zortech Solutions
Data Engineer-(DE)---USA
₹ Check with seller / month
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📍 Scottsdale
💼 Full Time
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Job at a Glance
- Category
- IT Engineer & Developer
- Location
- Scottsdale, Arizona, United States
- Salary
- Check with seller
- Job Type
- Full Time
- Company
- Zortech Solutions
- Status
- Open & Active
Job Description
Job description
Role: Data Engineer-(DE)
Location: Scottsdale AZ (day 1 onsite)
Duration: CTH and Fulltime
Job Description:
Must have skill set: Spark, S3, Glue, AWS Redshift and infrastructure, AWS Data Lake Formation and Glue components, data security, SQL, and Python
• 6-8 years of IT experience focusing on enterprise data architecture and management.
• Experience in Conceptual/Logical/Physical Data Modelling & expertise in Relational and Dimensional Data Modelling
• Experience with Databricks & on Prem , Structured Streaming, Delta Lake concepts, and Delta Live Tables required
• Experience with Spark scala
• Data Lake concepts such as time travel and schema evolution and optimization
• Structured Streaming and Delta Live Tables with Databricks a bonus
• Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support
• Advanced level understanding of streaming data pipelines and how they differ from batch systems
• Formalize concepts of how to handle late data, defining windows, and data freshness
• Advanced understanding of ETL and ELT and ETL/ELT tools such as Data Migration Service etc
• Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.
• Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus
• Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness
• Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design performance optimization)
• Indexing and partitioning strategy experience
• Debug, troubleshoot, design and implement solutions to complex technical issues
• Experience with large-scale, high-performance enterprise big data application deployment and solution
• Architecture experience in AWS environment a bonus
• Familiarity working with Lambda specifically with how to push and pull data, how to use AWS tools to view data for processing massive data at scale a bonus
• Experience with Gitlabs and CloudWatch and ability to write and maintain gitlabs for supporting CI/CD pipelines
• Experience working with AWS Lambdas for configuration and optimization and experience with S3
• Familiarity with Schema Registry, message formats such as Avro, ORC, etc.
• Ability to thrive in a team-based environment
• Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management
Role: Data Engineer-(DE)
Location: Scottsdale AZ (day 1 onsite)
Duration: CTH and Fulltime
Job Description:
Must have skill set: Spark, S3, Glue, AWS Redshift and infrastructure, AWS Data Lake Formation and Glue components, data security, SQL, and Python
• 6-8 years of IT experience focusing on enterprise data architecture and management.
• Experience in Conceptual/Logical/Physical Data Modelling & expertise in Relational and Dimensional Data Modelling
• Experience with Databricks & on Prem , Structured Streaming, Delta Lake concepts, and Delta Live Tables required
• Experience with Spark scala
• Data Lake concepts such as time travel and schema evolution and optimization
• Structured Streaming and Delta Live Tables with Databricks a bonus
• Experience leading and architecting enterprise-wide initiatives specifically system integration, data migration, transformation, data warehouse build, data mart build, and data lakes implementation / support
• Advanced level understanding of streaming data pipelines and how they differ from batch systems
• Formalize concepts of how to handle late data, defining windows, and data freshness
• Advanced understanding of ETL and ELT and ETL/ELT tools such as Data Migration Service etc
• Understanding of concepts and implementation strategies for different incremental data loads such as tumbling window, sliding window, high watermark, etc.
• Familiarity and/or expertise with Great Expectations or other data quality/data validation frameworks a bonus
• Familiarity with concepts such as late data, defining windows, and how window definitions impact data freshness
• Advanced level SQL experience (Joins, Aggregation, Windowing functions, Common Table Expressions, RDBMS schema design performance optimization)
• Indexing and partitioning strategy experience
• Debug, troubleshoot, design and implement solutions to complex technical issues
• Experience with large-scale, high-performance enterprise big data application deployment and solution
• Architecture experience in AWS environment a bonus
• Familiarity working with Lambda specifically with how to push and pull data, how to use AWS tools to view data for processing massive data at scale a bonus
• Experience with Gitlabs and CloudWatch and ability to write and maintain gitlabs for supporting CI/CD pipelines
• Experience working with AWS Lambdas for configuration and optimization and experience with S3
• Familiarity with Schema Registry, message formats such as Avro, ORC, etc.
• Ability to thrive in a team-based environment
• Experience briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior level of management
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