Role Name: Snowflake Data Engineer
Location: Pittsburgh, PA OR Lake Mary, FL
Duration :12 Months
Must-have skills: SQL, Oracle, Snowflake, Collibra, Financial Domain Expertise.
Good-to-have skills: Data Modeling, Banking Structures, AI, Data Analytics Exposure, Enterprise Data, SDLC Practices.
Description
Role Overview
Drive performance analysis and optimization of SQL queries Oracle Snowflake troubleshoot complex data and systems issues and lead root cause analysis for data quality
Partner with technology and business stakeholders to define requirements functional specifications and operational architecture for strategic global programs Provide input to data strategy and actively influence software development process improvements
Key Responsibilities
Analyze optimize and benchmark SQL queries across Oracle and Snowflake diagnose and resolve highly complex performance and data quality issues through rigorous root cause analysis
Collaborate with Universal Client Manager technology teams to define specifications design documents and functional use cases for system enhancements and integrations
Elicit challenge and prioritize business requirements using standard processes and templates translate requirements into clear functional designs user stories and use case documentation
Develop project scope objectives constraints and assumptions for large strategic multiyear initiatives ensure alignment to business outcomes and operational architecture
Provide consultation to IT and business management on applying technology to business opportunities plan and guide implementation of crossfunctional applications and systems
Participate in and provide guidance on technical design reviews test planning and user documentation ensure endtoend traceability from requirements through testing and release
Manage scope changes and dependencies using formal requirements management principles including change control traceability and stakeholder signoffs
Gather and analyze quantitative and qualitative data to develop recommendations addressing strategic objectives across multiple global business and technology areas
Engage in industry forums to maintain current domain knowledge incorporate best practices into solution design and process improvements
Apply experience with softwaresystems development processes to design and implement improved methodologies actively influence continuous improvement in SDLC and data practices
May allocate and coordinate work within a team or project ensuring delivery quality and timeline adherence
Required Qualifications
Experience working with Collibra
Proven expertise in SQL performance analysis and tuning across Oracle and Snowflake environments
Hands on experience investigating and remediating data quality issues including root cause analysis and correctivepreventive actions
Demonstrated ability to elicit and document business requirements and translate them into functional specifications use cases and technical designs
Familiarity with operational architecture systems integration and crossfunctional application implementation
Proficiency with requirements management practices change control traceability and participation in testing test plans UAT defect triage
Strong stakeholder management and communication skills with the ability to consult and influence across business and technology teams
Preferred Qualifications
Experience working with Artificial Intelligence
Experience working with Universal Client Manager or similar clientplatform technologies
Exposure to largescale strategic multiyear programs spanning global business and technology areas
Knowledge of modern SDLC practices agile methodologies and process improvement frameworks
Participation in industry forums or professional communities related to data analytics or enterprise architecture
Core Competencies
Analytical problem solving and structured root cause analysis
Requirements elicitation and prioritization
Technical design literacy and testing rigor
Data strategy awareness and business acumen
Stakeholder engagement and consultative communication
Process improvement and change management
1. Snowflake Data Engineering — Hands-on experience designing and implementing data pipelines using Snowflake features including Streams, Tasks, Dynamic Tables, and Snowpipe for automated ingestion and incremental processing.
2. SQL & Java Integration — Strong proficiency in complex SQL (window functions, CTEs, merge statements) and experience integrating Java-based ETL/ELT logic with Snowflake via JDBC or Snowflake connectors; familiarity with stored procedures and Snowpark is a plus.
3. Data Curation & Modeling — Demonstrated experience building multi-layer lake architectures (raw → curated → consumption zones) with data quality checks, deduplication, and schema evolution handling for high-volume transactional datasets.
4. Financial Domain Data — Prior exposure to financial data domains such as payment transactions, SWIFT messaging (MT/MX formats), customer inquiry records, or bank/client reference data; understanding of data sensitivity, masking, and compliance requirements.
5. Datastore & Orchestration — Experience integrating Snowflake pipelines with external datastores (e.g., GCS, S3, Azure Blob, or relational DBs) and orchestration tools (e.g., Apache Airflow, dbt, or equivalent) for end-to-end pipeline scheduling
COMMENTS FROM THE ACCOUNT TEAM:
Both the profile are AWS and Azure heavy and very less experience in relation Database, I have evaluated similar profile which is aligned towards pyspark based ingestion which is not the current requirement,
Please find the below requirement
- Oracle/Snowflake seasoned hands-on SQL
- Tune and optimize SQL queries
- Explain plan
- Normalization and denormalization – 2NF/3NF and dimensional models
- Data quality , Data profiling
- Understand Financial model – Party and Party relationship
Best Regards,
Chetna
Truth Lies in Heart