Data Engineer
Job Description
Job Title: Senior Data Engineer
Experience: 5 to 7 Years
Role Type: Full Time
Job Summary
We are seeking an experienced Senior Data Engineer with strong expertise in Oracle technologies to design, develop, and optimize high-performance data solutions. The ideal candidate will have deep hands-on experience in OLTP systems, ETL processes, performance tuning, and large-scale data handling, along with strong problem-solving and communication skills.
Key Responsibilities
- Design, develop, and manage Oracle database architectures, including Exadata environments.
- Build and maintain robust ETL and CDC pipelines to support enterprise data workflows.
- Develop and automate data pipelines using Unix/Linux shell scripting.
- Design and optimize OLTP databases handling large data volumes with effective partitioning strategies.
- Design, develop, and optimize Data Marts for large-scale analytics and reporting.
- Write and optimize complex SQL queries using analytical and window functions.
- Develop and maintain advanced PL/SQL components including procedures, functions, and packages.
- Perform Oracle query performance tuning through execution plan analysis and optimization.
- Manage large-scale data migrations using Oracle utilities such as SQL*Loader and Data Pump.
- Ensure data governance, data security, and data masking standards are implemented effectively.
- Troubleshoot and resolve complex data, performance, and system-level issues.
- Collaborate with cross-functional teams and communicate technical concepts clearly.
Required Skills
- Strong expertise in Oracle Database Architecture and Exadata.
- Extensive experience with ETL and CDC tools and frameworks.
- Advanced SQL and PL/SQL development skills.
- Strong understanding of OLTP systems and data modeling.
- Hands-on experience with performance tuning and database optimization.
- Proficiency in Unix/Linux shell scripting.
- Strong analytical, problem-solving, and communication skills.
Nice to Have
- Experience with NoSQL databases such as Cassandra or MongoDB.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Familiarity with CI/CD pipelines and version control tools like Git.
- Experience using AI-assisted development tools such as GitHub Copilot.
Interview Instructions
Candidates are requested to carry a copy of their updated resume along with a valid photo ID for security verification. Please report to the interview venue at least 10–15 minutes prior to the scheduled time.
Kindly reply to this email to confirm your availability.