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Senior Data Engineer – Informatica CDI, SAS Migration
NucleusTeq. Architect, design, develop, and deploy robust, scalable ELT/ETL pipelines using Informatica Cloud Data Integration .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in architecting and deploying scalable ELT/ETL pipelines using Informatica Cloud Data Integration, with a strong focus on data integration, optimization, and compliance. Proficient in modern SQL and experienced in managing cloud data warehouses such as Snowflake and AWS Redshift.
Highest-signal resume keywords
Informatica Cloud Data Integration (IICS CDI)Advanced SQL ProficiencyData Engineering ExperienceLegacy SAS Analysis and ModernizationCloud Data Warehouse Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
ELT/ETL Pipeline DevelopmentData Integration Components DesignSAS Code ReconstructionData Staging PatternsTaskflow CreationData Mapping OptimizationError Handling Best PracticesData Masking ImplementationJSON HandlingPython Scripting
Soft Skills
MentoringCollaborationCode Review
Tools & Technologies
SnowflakeAWS RedshiftGoogle Cloud BigQueryDatabricksControl-MAutosysIICS Secure Agents
Certifications & Qualifications
Informatica Cloud Data Integration Specialist Certification
Industry Keywords
Data GovernanceData QualityCompliance StandardsStar SchemaSnowflake SchemaSCD TypesData Re-platformingHistorical Data Reconciliation
Tech Stack
Tools & technologiesAmazon RedshiftAWSAzureBigQueryCloudETLInformaticaPythonSnowflakeSQL
About the role
Key responsibilities & impact- Architect, design, develop, and deploy robust, scalable ELT/ETL pipelines using Informatica Cloud Data Integration
- Design modular data integration components, including Data Synchronization Tasks, Mapping Tasks, and Taskflows
- Build low-latency, scalable pipelines connecting diverse sources to Snowflake, BigQuery, AWS Redshift, or Databricks
- Establish best practices for parameterization, dynamic configuration, error handling, session logging, and alerting in IICS CDI
- Analyze legacy SAS scripts, macros, data steps, and SQL procedures to extract and document business rules
- Reverse-engineer legacy SAS logic into target data models and transformational logic in CDI and SQL
- Design parallel-run execution strategies, reconciliation pipelines, and regression testing frameworks to validate parity between SAS and CDI outputs
- Decommission obsolete SAS workflows and identify consolidation and performance optimization opportunities
- Optimize CDI mappings and pushdown optimization to maximize processing efficiency on cloud warehouses
- Manage IICS Secure Agents, runtime environments, and scheduling integrations such as Control-M, Autosys, or cloud-native schedulers
- Partner with Data Governance, Security, and Quality teams to implement data masking, lineage tracking, and compliance standards
- Mentor mid-level and junior engineers and conduct code and design reviews
Requirements
What you’ll need- 4+ years of hands-on experience building complex mappings, hierarchical transformations, lookups, and taskflows in IICS CDI
- 2+ years of direct experience analyzing, modernizing, or re-platforming legacy Base SAS / SAS MACRO workflows
- Ability to read SAS code fluently and reconstruct its logic using modern SQL/CDI
- Advanced SQL proficiency, including complex analytical functions, windowing, and subqueries
- Hands-on experience with at least one modern cloud warehouse: Snowflake, AWS Redshift, Google Cloud BigQuery, or Azure Synapse/Databricks
- Solid understanding of Star Schema, Snowflake Schema, SCD Types 1, 2, and 3, and data staging patterns
- Proven record of participating in large-scale data re-platforming, validation, and historical data reconciliation
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related quantitative field, or equivalent practical experience
- 6+ years of overall data engineering/integration experience, with a proven focus on IICS CDI implementations and legacy ETL/code migrations
- Official Informatica Cloud Data Integration Specialist Certification preferred
- Python or Bash scripting capability preferred
- Familiarity with CI/CD deployment pipelines for IICS artifacts preferred
- Experience handling JSON, Parquet, Avro, and XML within CDI preferred