Sr. Software Engineer Data Platform

The Sr. Data Engineer role within Concentrix is responsible for designing, developing, implementing, and supporting data integration and outbound interfaces for the Enterprise Data Platform. The role is responsible for the implementation, integration, and expansion of the Data Platform system using big data, cloud technology and other trending technologies.

Essential Duties:

• Actively participate in the design, development, testing and implementation of the models, data integration, ETL, interfaces, data governance, and data quality standards.
• Design, develop and implement scalable and efficient databases, data warehouses, and data lakes to support business needs and analytics initiatives. Excellent understanding of dimensional data modeling, RDBMS and NoSQL platforms.
• Responsible for managing the full life cycle of data warehouse and big data solutions. This includes creating the requirements analysis, the platform selection, design of the data platform, development, testing, and deployment of the proposed solution.
• Conduct code reviews to maintain code quality and consistency across the team.
• Create and maintain technical documentation for the data projects.
• Lead performance tuning and optimization activities of the data systems to ensure high availability, reliability, and efficiency.
• Establish and enforce data governance practices, including data security, data privacy, and data access controls.

Skills:

• Minimum of 7 years work experience as a Data Engineer.
• Minimum 5+ years experience in Data Warehouse design and development for large-scale complex Data Platform. Experience with star schemas, dimensional modeling, and extract transform load (ETL) design and development.
• Knowledge and experience required Data Proc, Python, Pyspark, Cloud Composer, GCP.
• Recent 5+ years in Big Data Ecosystem. Expertise in cloud-based data platforms, such as Google Cloud Platform (GCP).
• Expert with data integration technologies like Kafka and Spark.
• Knowledgeable of any of the ETL technologies like Pentaho, SSIS, Informatica or DataStage.
• Experience working with RDBMS like Oracle, SQL Server, MySQL and Postgres.
• Knowledge of data governance practices, data security, and privacy regulations (e.g., GDPR, CCPA).