Data Integration Specialist

  Design and implement end-to-end data integration solutions across multi-cloud environments (AWS, Azure, GCP). 
•    Develop and maintain data pipelines (ETL/ELT) for structured and unstructured data. 
•    Define and implement data models (conceptual, logical, physical) aligned with business requirements. 
•    Ensure data quality, governance, and consistency across enterprise systems. 
•    Integrate data across ERP, SaaS platforms, data lakes, warehouses, and APIs. 
•    Lead data migration and transformation initiatives across cloud platforms. 
•    Collaborate with business and technical teams to define data architecture and integration strategies. 
•    Implement real-time and batch integration patterns using modern tools. 
•    Optimize data workflows for performance, scalability, and cost efficiency. 
•    Ensure compliance with security, privacy, and regulatory standards.

Essential Skills / Experience

•    Cloud Platforms
     Hands-on expertise in: 
     o    AWS (Glue, Redshift, Lambda, S3)
     o    Azure (ADF, Synapse, Data Lake, Databricks)
     o    GCP (BigQuery, Dataflow, Pub/Sub, Cloud Data Fusion)
•    Data Integration & Engineering
•    Strong experience with ETL/ELT tools (Informatica, Talend, DataStage, Matillion, etc.)
•    Proficiency in batch and real-time data processing
•    Experience with API-based and event-driven integrations
•    Data Management & Modelling
•    Expertise in: 
     o    Data modelling (ER, dimensional, star/snowflake schema)
     o    Master Data Management (MDM)
     o    Data governance and metadata management
•    Hands-on experience with data quality frameworks and tools
•    Technical Skills
•    Strong SQL and database knowledge (RDBMS & NoSQL)
•    Programming skills in Python / Scala / SQL
•    Experience with data lakes, data warehouses, and lakehouse architectures
•    Familiarity with CI/CD, DevOps practices, and version control
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•    Qualifications
•    Bachelor’s/Master’s degree in Computer Science, Data Engineering, or related field
•    10–14 years of experience in data integration and data engineering roles
•    Experience in multi-cloud enterprise environments
•    Relevant certifications (preferred): 
     o    AWS / Azure / GCP Data or Solutions Architect certifications