Experience
5 - 8 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
ETL Developer
Job Type
Not specified
Job Description
We are seeking a highly skilled ETL Developer with strong expertise in data integration, transformation, and data warehousing
The ideal candidate will be responsible for building scalable data pipelines and ensuring high data quality to support business intelligence and analytics initiatives
Key Responsibilities: Design, develop, and maintain robust ETL pipelines for extracting, transforming, and loading data from various sources Work with structured and unstructured data across multiple systems Ensure data accuracy, consistency, and integrity across all data platforms Optimize ETL jobs for performance and scalability Troubleshoot and resolve data-related issues and bottlenecks Collaborate with data analysts, engineers, and business stakeholders to understand requirements Support data warehousing and reporting solutions
Key Skills: Strong hands-on experience with ETL tools such as Informatica, Talend, or SSIS Proficiency in SQL and experience with relational databases Good understanding of data warehousing concepts and data modeling Experience with scripting languages like Python or Shell Knowledge of performance tuning and optimization techniques Familiarity with data integration, debugging, and troubleshooting Good to Have: Experience with cloud platforms like AWS, Azure, or GCP Exposure to big data technologies such as Hadoop or Spark Understanding of BI tools and reporting systems
The ideal candidate will be responsible for building scalable data pipelines and ensuring high data quality to support business intelligence and analytics initiatives
Key Responsibilities: Design, develop, and maintain robust ETL pipelines for extracting, transforming, and loading data from various sources Work with structured and unstructured data across multiple systems Ensure data accuracy, consistency, and integrity across all data platforms Optimize ETL jobs for performance and scalability Troubleshoot and resolve data-related issues and bottlenecks Collaborate with data analysts, engineers, and business stakeholders to understand requirements Support data warehousing and reporting solutions
Key Skills: Strong hands-on experience with ETL tools such as Informatica, Talend, or SSIS Proficiency in SQL and experience with relational databases Good understanding of data warehousing concepts and data modeling Experience with scripting languages like Python or Shell Knowledge of performance tuning and optimization techniques Familiarity with data integration, debugging, and troubleshooting Good to Have: Experience with cloud platforms like AWS, Azure, or GCP Exposure to big data technologies such as Hadoop or Spark Understanding of BI tools and reporting systems
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