ML Data Engineer

Job Description

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 Job Description: 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).