Software Engineer

Bachelor s or Master s degree in Computer Science, Information Systems, or a related field.
6+ years of experience in data engineering or database development roles.
Expert-level proficiency in SQL (analytical functions, complex joins, partitioning, indexing, query tuning).
Strong hands-on experience with Oracle (Exadata, PL/SQL, performance tuning, partitioning strategies).
Deep understanding of data modeling concepts (3NF, star/snowflake schemas, dimensional modeling).
Working knowledge of Python for scripting and automation.
Strong understanding of ETL concepts, data quality, and workflow orchestration.

Design, develop, and optimize complex SQL queries, stored procedures, and ETL/ELT pipelines for high-volume data environments.
Architect and implement data models (logical and physical) supporting reporting, analytics, and operational data stores.
Work extensively with Oracle databases, focusing on partitioning, indexing, and query performance optimization.
Develop and automate data ingestion and transformation workflows using Python and SQL-based frameworks.
Collaborate with cross-functional teams to define data architecture, governance standards, and best practices.
Support data validation, reconciliation, and troubleshooting across diverse data sources.
Provide mentorship and technical guidance to junior team members on SQL optimization and modeling principles. Comments to Suppliers: Bachelor s or Master s degree in Computer Science, Information Systems, or a related field.
6+ years of experience in data engineering or database development roles.
Expert-level proficiency in SQL (analytical functions, complex joins, partitioning, indexing, query tuning).
Strong hands-on experience with Oracle (Exadata, PL/SQL, performance tuning, partitioning strategies).
Deep understanding of data modeling concepts (3NF, star/snowflake schemas, dimensional modeling).
Working knowledge of Python for scripting and automation.
Strong understanding of ETL concepts, data quality, and workflow orchestration.
Experience with Apache Airflow or other workflow orchestration tools.
Exposure to cloud data platforms (OCI, AWS, GCP, or Azure) and distributed processing frameworks (Spark, Hadoop).
Familiarity with CI/CD pipelines, Git-based workflows, and DevOps principles.

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