Knack Consulting Services Pvt Ltd. | Azure Data Factory Engineer

18 hours ago


india Knack Consulting Services Pvt Ltd. Full time

Company Description :


Knack Consulting Services Pvt. Ltd. is a cohesive Human Resource Solutions organization with its head office in New Delhi, India. KCS looks beyond the formula of merely supplying resumes or placing people and works on the dynamics of scouting the right talent for the right positions. We emphasise on understanding our clients & candidates in order to find the precise blend of technical & cultural fitment. With ever-evolving technology, consumers becoming more knowledgeable, your business needs the most capable minds that have the ability to churn out new ideas and keep your flag flying high. We are a steady and reliable partner to many companies across the globe.


Job Description :


Experience: 6+ years

Location- Greater Noida, Bangalore, Gurgaon


Requirement :


  • Azure Databricks, Azure Synapse, Azure Data Lake, Azure Data factory, Python & SQL.
  • This requirement is for Data Engineer in Gurugram for Data Analytics Project.
  • Building ETL/ELT pipelines of data from various sources using SQL/Python/Spark
  • Ensuring that data are modelled and processed according to architecture and requirements both functional and non-functional Understanding and implementing required development guidelines, design standards and best practices
  • Delivering right solution architecture, automation and technology choices
  • Working cross-functionally with enterprise architects, information security teams, and platform teams
  • Suggesting and implementing architecture improvements
  • Experience with programming languages such as Python or Scala Knowledge of Data Warehouse, Business Intelligence and ETL/ELT data processing issues
  • Ability to create and orchestrate ETL/ELT processes in different tools (ADF, Databricks Workflows)
  • Experience working with Databricks platform: workspace, delta lake, workflows, jobs, Unity Catalog Understanding of SQL and relational databases
  • Practical knowledge of various relational and non-relational database engines in the cloud (Azure SQL Database, Azure Cosmos DB, Microsoft Fabric, Databricks)
  • Hands-on experience with data services offered by Azure cloud Knowledge of Apache Spark (Databricks, Azure Synapse Spark Pools)
  • Experience in performing code review of ETL/ELT pipelines and SQL queries Analytical approach to problem solving.

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