Data Engineer

Bachelors or equivalent degree in Computer Science, IT, electronics and communications Minimum 3-4 years of professional experience in relevant Data Engineering field and knowledge of cloud platform i.e., Azure. Minimum 3 years of strong experience in Databricks, pyspark and SQL. Experience into SQL stored procedures, Views, functions, SAP ODATA etc. Experience with Azure Data Lake, Azure Synapse, Azure Data Factory, SQL Data Warehouse, Azure Blob, Azure Storage Explorer Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development etc. Good verbal and written communication skills. Good To Have Good to have knowledge of BI related technologies i.e. PowerBI, SSRS. Knowledge of Machine Learning models in Databricks. Knowledge or experience in row level security, GIT, CI/CD. Experience with or knowledge of Agile Software Development methodologies. Requirements Soft Skills Assuming personal responsibility & demonstrating reliability Own Initiatives and perseverance Ability to deal with conflicts & solve problems Negotiation skills Decision making Ability to Cooperate Excellent written and verbal communication skills