ML Data Engineer

Company Overview:

We are a fast-growing startup revolutionizing the contact center industry with GenAI-powered solutions. Our innovative platform is designed to enhance customer engagement

We are looking for a skilled and experienced Data Engineer to design, build, and optimize scalable data pipelines and architectures that power data-driven decision-making across the organization. Candidate with a proven track record of writing complex stored procedures and optimizing query performance on large datasets.

Requirement:

• Architect, develop, and maintain scalable and secure data pipelines to process structured and unstructured data from diverse sources.
• Collaborate with data scientists, BI analysts and business stakeholders to understand data requirements.
• Optimize data workflows and processing for performance, ensure data quality, reliability and governance
• Hands-on experience with modern data platforms such as Snowflake, Redshift, BigQuery, or Databricks.
• Strong knowledge of T-SQL and SQL Server Management Studio (SSMS)
• Experience in writing complex stored procedures, Views and query performance tuning on large datasets
• Strong understanding of database management systems (SQL,NoSQL) and data warehousing concepts.
• Good knowledge and hands on experience in tuning the Database at Memory level, able to tweak SQL queries.
• In-depth knowledge of data modeling principles and methodologies (e.g., relational, dimensional, NoSQL).
• Excellent analytical and problem-solving skills with a meticulous attention to detail.
• Hands-on experience with data transformation techniques, including data mapping, cleansing, and validation.
• Proven ability to work independently and manage multiple priorities in a fast-paced environment.
• Work closely with cross-functional teams to gather and analyse requirements, develop database solutions, and support application development efforts
• Knowledge of cloud database solutions (e.g., Azure SQL Database, AWS RDS).