Database Engineer 4

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.