Data Architect
Data Pipelines, Big Data Exco Systems, ETL Datastage or Abinitio
Database, Data Model
Design, build, and maintain scalable, reliable, and efficient data pipelines for ETL/ELT processes.
Develop and optimize data ingestion, transformation, and storage solutions for structured and unstructured data.
Collaborate with Data Scientists, Analysts, and Software Engineers to ensure seamless Implement data modelling, schema design, and database optimizations for performance and scalability.
Work with relational database Oracle.
Ensure data governance, security, and compliance with industry standards.
Automate data workflows using Autosys or TWS, Prefect, or similar orchestration tools.
Monitor and troubleshoot data pipeline issues to ensure high availability and reliability.
Stay updated with emerging data technologies and best practices to improve data architecture.
Bachelordegree in Computer Science, Data Engineering, or a related field.
8+ years of experience in data engineering, big data processing, or database development.
Strong expertise in SQL, Python, and ETL/ELT processes.
Hands-on experience with Python, Autosys, TWS and Oracle(SQL, PLSQL)
Strong understanding of data warehousing, data lakes, and database performance tuning.
Familiarity with version control (Git), CI/CD pipelines, and DevOps practices.
Excellent problem-solving and analytical skills, with the ability to optimize data workflows.
Data Pipelines, Big Data Exco Systems, ETL Datastage or Abinitio
Database, Data Model
Design, build, and maintain scalable, reliable, and efficient data pipelines for ETL/ELT processes.
Develop and optimize data ingestion, transformation, and storage solutions for structured and unstructured data.
Collaborate with Data Scientists, Analysts, and Software Engineers to ensure seamless Implement data modelling, schema design, and database optimizations for performance and scalability.
Work with relational database Oracle.
Ensure data governance, security, and compliance with industry standards.
Automate data workflows using Autosys or TWS, Prefect, or similar orchestration tools.
Monitor and troubleshoot data pipeline issues to ensure high availability and reliability.
Stay updated with emerging data technologies and best practices to improve data architecture.
Bachelordegree in Computer Science, Data Engineering, or a related field.
8+ years of experience in data engineering, big data processing, or database development.
Strong expertise in SQL, Python, and ETL/ELT processes.
Hands-on experience with Python, Autosys, TWS and Oracle(SQL, PLSQL)
Strong understanding of data warehousing, data lakes, and database performance tuning.
Familiarity with version control (Git), CI/CD pipelines, and DevOps practices.
Excellent problem-solving and analytical skills, with the ability to optimize data workflows.