experience in data engineering, data modeling, data architecture, or analytics. Expertise in SQL, entity-relationship modeling, and dimensional data modeling. Experience with relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB. Familiarity with big data platforms (e.g., Hadoop, Snowflake). Prior experience with ETL tools or as a SQL developer. Proficiency in Python for data engineering and More ❯
modern cloud environments. Collaborate with stakeholders to define data strategy, governance, and architecture standards. Provide technical leadership on cloud data platforms (AWS, Snowflake). Work with various RDBMS systems (Sybase IQ, Oracle, SQL Server, PostgreSQL) to ensure smooth data integration and transformation. Ensure best practices for data security, scalability, and performance. Required Skills & Experience Strong programming experience with Python (batch … analytics and performance tuning. Experience with APIs and integration frameworks using Django/Flask. Solid understanding of data migration architecture (legacy to cloud). Experience across multiple RDBMS platforms (Sybase IQ, Oracle, SQL Server, PostgreSQL). Excellent problem-solving, communication, and stakeholder management skills. Good to Have Exposure to data governance and compliance frameworks. Knowledge of modern streaming platforms (Kafka More ❯
