Responsibilities - Data Engineer will be responsible for designing, developing, and maintaining complex ETL pipelines that extract, transform, and load data for building of Enterprise Data platform.
Minimum of 3-5 years of overall experience.
Strong hands-on experience in designing, developing, testing, and maintaining complex ETL pipelines using Databricks.
Experience in extracting, transforming, and loading data from a variety of data sources by adopting latest ETL technologies and best practices.
Experience in implementing Azure data services solutions, including Azure Data Factory, SQL Database, Stream Analytics and Data Lake.
Ability to troubleshoot and debug complex ETL pipelines.
Possess a deep understanding of data warehousing concepts, reporting, and analytical concepts.
Good to have experience in Snowflake, ML & Big Data stack.
Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.
Insight India Location:Level 16, Tower B, Building No 14, Dlf Cyber City In It/Ites Sez, Sector 24 &25 A Gurugram Gurgaon Hr 122002 India
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