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Database Engineer 4

CHANDLER, AZ, US • Posted 5 hours ago • Updated 5 hours ago

Contract W2

On-site

$65.63 - $73.94/hr

Fitment

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Job Details

Skills

Financial Services
Finance
Extract
Transform
Load
Training
Military
Ab Initio
Amazon Web Services
Microsoft Azure
PL/SQL
SQL
Oracle
Teradata
Apache Hadoop
Apache Hive
CA Workload Automation AE
Distributed Computing
Parallel Computing
FOCUS
Code Coverage
Agile
Scrum
Fluency
Communication
Streaming
Apache Kafka
Apache Spark
Real-time
Machine Learning (ML)
Analytical Skill
Emerging Technologies
Python
Google Cloud Platform
Google Cloud
Vertex
Artificial Intelligence
Natural Language Processing
Scala
File Formats
Unix
Shell Scripting
Continuous Integration
Continuous Delivery
Cloud Computing
Database
Data Processing
Business Strategy
Reporting
Evaluation
Management
Data Modeling
Data Warehouse
Analytics
Writing
Scripting
Data Integration
Regulatory Compliance
Collaboration
Data Engineering

Summary

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a Database Engineer in Chandler, AZ (Hybrid).

Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration: 6 Months

Required Skills & Experience

5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
Very experienced ETL developer using Ab Initio, SparkFlow, Airflow, Big Query on Google cloud platform
6+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
6+ years of Strong Experience of Ab Initio, Spark Core, Spark SQL, Data Frames, Datasets
3+ Experience on Python or other scripting languages
Hands-on experience with Google Cloud Platform or other cloud platforms (AWS/Azure)
3+ years of data warehouse experience, SQL experience (Teradata, SQL, PL/SQL). Understand and write the complex SQL queries and have in-depth understanding of oracle database
Strong experience with Teradata, Hadoop, Hive, Autosys, Airflow, BigQuery SparkFlow
Good understanding of distributed system and parallel processing, spark architecture in depth
Ability to conduct code reviews with focus on testability and code coverage.
Should have executed end to end projects in data engineering
Should have experience working in an Agile environment using Scrum.
Fluent in communication

Desired Skills & Experience

Prior experience of leading the teams and running the major programs is needed.
Good knowledge of non-relational DBMS platforms, (MongoDBj), real-time data streaming via Kafka
Working knowledge in developing end to end ML/AI pipeline in Apache Spark, Sparkling Waters, H2O, experience in working on LLMs. Exposer to Agentic AI frameworks.
Ability to work with Data Engineers in discovering and optimizing bottlenecks in the AI/ML pipeline for real-time or near-real-time applications that consumes large throughput of data
Perform various complex activities related to statistical/machine learning. Provide analytical support for developing, evaluating, implementing, monitoring and executing models across business verticals using emerging technologies including but not limited to Python, Agentic AI frameworks like ADK, Google Cloud Platform vertex AI and NLP.
Proficient in large scala data processing, Hands-on experience with different file formats, very good understanding of Unix command & Shell scripting.
Familiarity with CI/CD pipelines, infrastructure as code and cloud deployment best practices

What You Will Be Doing

Consult on complex initiatives with broad impact and large-scale planning for Database Engineering.
Review and analyze complex multi-faceted, larger scale or longer-term Database Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
Strategically collaborate and consult with client personnel.
Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10105282
Position Id: 881400
Posted 5 hours ago

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