Data Engineer - ETL/Scala in Gurgaon, भारत

Role Overview : - Apply engineering science and technology, including principles, techniques, procedures, and equipment to the design and implementation of data warehouse and advanced analytical applications.- Enhance and maintain corporate data warehouse and analytical platforms.- Support engineering needs associated with advanced analytical capabilities including machine learning, predictive modeling, and artificial intelligence.- Debug, test, and optimize data pipelines and ETL processes for performance and reliability.- Design and implement data architectures that support scalability, performance, and compliance requirements.- Collaborate with data scientists and analysts to implement advanced analytics solutions.- Implement data security, encryption, and access control mechanisms.- Support data migration and integration https://jobeax.com/link/a6DS6rH6bQ6EtaEU : - Strong knowledge of data engineering principles and practices.- Proficiency in programming languages (Python, Java, Scala) and SQL.- Experience with big data platforms and tools (Spark, Hadoop, or cloud data services).- Knowledge of database design and data modeling.- Understanding of ETL and data integration concepts.- Experience in Cloud data platforms like Snowflake and AWS, EMR/Athena is a must.- Experience in building modern data lakehouse architectures using Snowflake and columnar formats like Apache Iceberg/Hudi, Parquet, etc.- Proficiency in Data modeling, SQL query profiling, and data warehousing skills is a must.- Experience in distributed data processing engines like Apache Spark, Apache Flink, Datalfow/Apache Beam, etc.- Knowledge of workflow orchestrators like Airflow, Dasgter, etc is a plus.- Data visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc).- Excellent verbal and written communication skills. (ref:hirist.tech)