Join us as a Data Engineer to design, build, and optimize scalable data pipelines and architectures that power data-driven decision-making across the organization.
Requirements
- 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).