Data Engineer in Hyderabad, भारत

Job Overview :We are looking for an experienced Data Engineer with 7+ years of experience in data engineering, with strong hands-on expertise in ETL/ELT, Databricks, GCP BigQuery, Python, and SQL. The ideal candidate should have experience designing, developing, and maintaining scalable data pipelines and data processing https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Design, develop, and maintain scalable data engineering solutions.- Develop and manage ETL/ELT pipelines for data ingestion, transformation, and processing.- Work extensively with Databricks for data engineering and data processing requirements.- Develop and optimize data solutions using GCP BigQuery.- Develop data engineering solutions using Python.- Write and optimize SQL queries for data extraction, transformation, analysis, and processing.- Perform data transformation, integration, and processing across various data sources.- Build and maintain reliable, scalable, and optimized data pipelines.- Troubleshoot and resolve data pipeline and data processing issues.- Collaborate with technical and business teams to understand data requirements and deliver effective data https://jobeax.com/link/qVQYcn8zRo6FsrUo Skills :- 7+ years of experience in Data Engineering.- Strong hands-on experience with ETL/ELT processes and data pipelines.- Strong hands-on experience with Databricks.- Strong hands-on experience with GCP BigQuery.- Strong programming experience with Python.- Strong hands-on experience with SQL, including complex queries and data transformations.- Strong understanding of data ingestion, transformation, integration, and processing.- Experience developing and maintaining scalable data pipelines.- Strong troubleshooting and problem-solving https://jobeax.com/link/Cexs453KRiH2S1rJ Profile :- Strong hands-on experience in enterprise data engineering environments.- Ability to work independently as well as collaboratively with cross-functional teams.- Strong analytical and problem-solving capabilities. (ref:hirist.tech)