Data Engineer

• Mandatory Skills : Data Bricks , SQL, Pyspark and Data Modelling
• Notice Period: Immediate to 15 Days
• Experience : 3 - 8 years
• Location: Hyderabad & Bangalore

Short JD

Proficiency In Python, SQL, Databricks, Snowflake Data Modelling, Data Orchestration, ETL Process, Apache Spark, Pyspark, Data Integration and workflow orchestration , real time data processing experience and frameworks, Azure cloud experience

Job Description

• Minimum 3 years of experience in Data Engineering role that involves Analyzing, organizing raw data, and building data systems & pipelines in Cloud Platform [Azure]
• Experienced in migrating data from on-prem to cloud-based solution architectures [Azure]
• Extensive experience with Python, Spark and SQL
• Experience in developing ETL processes. Proficient with Azure Data Lake, Azure Data Factory, Azure SQL, Azure Databricks, Azure Synapse Analytics or equivalent tools and technologies
• Experience building data lakes & data warehouses to support operational intelligence and business intelligence.
• Excellent written and verbal communication skills
• 3 years of relevant experience is a guideline and not a mandate. If the person has good data background , 1-2  years of experience on Azure and databricks is good .
• . If the person has good ETL, data, Azure background and SQL
• 25 % of advanced data engineers need to be strong in Modeling. Others should have basic modeling concepts.