What makes you a great fit :

• 10 – 12 Years of Total Experience in Software Development.
• 7+ years of experience Big Data, Hadoop, Data Lake, Data Mesh Architectures, Azure Cloud, Microsoft SQL Server, Unix, and platform migrations, Apache Spark, Pyspark, Hive, Azure data bricks, ADF.
• Should have managed successful execution of minimum 1large engagement into production go live.
• Should have good knowledge of Platform management of Cloud, DWH, Azure and Data Lake.
• Good in Data Management Fundamentals and Data Architect, Modelling, Governance and Data security.
• Strong in writing & tuning the Data Ingestion jobs, Spark applications, python, Hive, Azure Databricks, Azure Data Factory and Azure SQL.
• Proficient in SQL, python, C#, Java, or another JVM-based language.
• Proficient in Spark, Hive, Sqoop, ADLS, ADB, ADF and Kafka.
• Public/Private cloud experience in AWS and/or Azure.
• Good knowledge of RDBMS and NoSQL database design and best practices.
• Experience in DWH to Data Lake offloading.
• Proficient in Data Modeling and Data Governance concepts.
• Good Domain Knowledge in Banking/Finance area.