Data Engineer

Azure Databricks Engineer Proven experience working with Azure Databricks and Apache Spark. Strong proficiency in Python, Scala, or SQL for data engineering tasks. Familiarity with Azure cloud services such as Azure Data Lake, Azure Data Factory, and Azure Synapse Analytics. Experience in developing and optimising ETL/ELT pipelines. Excellent problem-solving, analytical, and communication skills. Exp : 5- 12 years

• Aws Databricks Engineer Proven experience with Databricks and AWS data services (e.g., S3, Redshift, Glue, EMR). Proficiency in Python, Scala, or SQL for data engineering tasks. Hands-on experience with Spark for large-scale data processing. Strong understanding of ETL concepts, data warehousing, and data modelling. Familiarity with CI/CD pipelines and version control systems such as Git. Excellent problem-solving skills and attention to detail. Preferred Qualifications AWS or Databricks certification. Experience with real-time data processing and streaming (e.g., Kafka, Kinesis). Knowledge of data security and compliance standards relevant to cloud data solutions. Strong communication and collaboration skills. Exp : 5- 12 years
• Snowflake DBT Develop and optimise complex SQL queries, stored procedures, and scripts within Snowflake. Design and implement scalable ETL processes for data ingestion, transformation, and integration from multiple sources. Monitor and troubleshoot Snowflake workloads, ensuring high performance and reliability. Collaborate with data architects and other teams to deliver robust data solutions aligned with business requirements. Maintain data security, governance, and compliance standards as per organisational policies. Document technical solutions and provide knowledge sharing across the team. Exp : 5-12 years