- Advanced working SQL/PLSQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases structures (Hadoop, MongoDB, dimensional designed solutions, and structures)
- Experience building and optimizing data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets and recommending transformations to optimal architectures.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
- Experience supporting and working with cross-functional teams in a dynamic environment with an agile mindset, agile methodology, sprint planning, writing user stories and delivering data pipelines in an iterative methodology.
- Candidates should also have 5+ years of experience using the following software/tools:
- Cloud-based data storage and data pipeline solutions
- API development (specifically to connect to SaaS solutions)
- Hadoop, Spark, Kafka, Linux scripting, etc.
- Experience with AWS/Azure cloud services and platforms
- Experience with Snowflake data platform
- Experience with Matillion, Databricks, or equivalent
- Experience with object-oriented/object function scripting languages: Python, Java, etc.
- Data Engineer role who has attained a degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field experience.
- Data modeling experience using either SAP Power Designer or Erwin tools.
- Snowflake cloud-based data warehousing platform.
- Experience using agile development methodology and working within a scrum team.
- Data modeling experience using either SAP Power Designer or Erwin tools.
- Experience using agile development methodology and working within a scrum team.
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Data Engineer - Arizona City, United States - Saxon Global
Description
Qualifications Required in the Job:
Basic Qualification : Matillion ETL tool - Must have strong experience within, not just POC's Snowflake Data Engineering
Additional Skills : Matillion ETL tool - Must have strong experience within, not just POC's Snowflake Data Engineering
Background Check :Yes
Drug Screen :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :No
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Development/Engineering
Master Job Title :Dev: SQL Server Database
Branch Code :Phoenix