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Data Engineer - Azure (NCS/Job/ 2100)

For Data And Artificial Intelligence Company
5 - 8 Years
Full Time
Immediate
Up to 18 LPA
1 Position(s)
Bangalore / Bengaluru
Posted 1 Day Ago

Job Skills

Job Description

Job Description – Data Engineer

  • Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science, Business Informatics, Engineering, Physics or a related field.

  • Proven experience with Azure Data Factory, Oracle Autonomous Database, Oracle Database, and PostgreSQL.

  • Must have experience with Oracle Autonomous Database or Oracle Database and strong Oracle SQL.

  • Strong expertise in SQL and PL/SQL scripting.

  • Hands-on experience in performance tuning, monitoring, and troubleshooting Oracle databases.

  • Proficient in designing and implementing cloud-based data solutions.

  • Strong analytical and problem-solving skills with a proactive mindset.

  • Excellent communication and documentation skills.

  • Proactive, self-motivated and able to work in a very dynamic environment.

  • Good spoken and written communication skills in English.


What will you do?

The holder of the position is mainly responsible for the following areas in coordination with his/her superior:

  • Lead and manage the end-to-end ETL/ELT process for data migration from Azure PostgreSQL to Oracle Autonomous Database.

  • Own and maintain data patching processes and ensure ETL pipelines are updated accordingly.

  • Understand the database structure of the internal ERP system hosted in Azure PostgreSQL to support accurate data extraction and transformation.

  • Design, build, and optimize data pipelines using Azure Data Factory and Azure Data Lake storage.

  • Ensure data integrity, quality, and security throughout the migration and transformation lifecycle.

  • Monitor, troubleshoot, and tune performance of Oracle Autonomous Database to ensure optimal efficiency.

  • Collaborate with application developers and IT teams to implement scalable and secure database solutions.

  • Document and maintain detailed data engineering processes, standards, and best practices.

  • Demonstrate a willingness to learn and adapt to new technologies and business requirements.

  • Ensure SLA for 2nd & 3rd level support for business is managed.