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NucleusTeq

Senior Data Engineer – Informatica CDI, SAS Migration

NucleusTeq

. Architect, design, develop, and deploy robust, scalable ELT/ETL pipelines using Informatica Cloud Data Integration .

Posted 11/9/2026full-timeIndore • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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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

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Applicant 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 & technologies
Amazon 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