Description We are seeking an experienced Informatica IICS Developer to join our dynamic team in India. The ideal candidate will be responsible for designing and developing data integration solutions to meet the needs of our business. This role requires a strong understanding of ETL processes and data warehousing. Responsibilities Design, develop, and implement data integration solutions using Informatica Intelligent Cloud Services (IICS). Collaborate with business analysts and stakeholders to gather and analyze requirements. Ensure data quality and integrity through effective ETL processes. Optimize and troubleshoot existing ETL workflows and processes. Maintain comprehensive documentation of data integration processes and solutions. Participate in code reviews and ensure adherence to best practices in data integration. Skills and Qualifications 8-12 years of experience in Informatica IICS or related ETL tools. Strong knowledge of data warehousing concepts and methodologies. Experience with SQL and database management systems such as Oracle, SQL Server, or similar. Familiarity with cloud technologies and data integration in cloud environments. Ability to work with various data formats including JSON, XML, and flat files. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, able to work in a team environment.
Description We are seeking an experienced AWS Data Engineer to join our team in India. The ideal candidate will have a strong background in designing and implementing data solutions on AWS, with a focus on optimizing data flow and ensuring data quality. Responsibilities Design, develop, and maintain scalable data pipelines on AWS. Implement and manage data storage solutions including Amazon S3, Redshift, and RDS. Optimize data retrieval and processing methods to improve performance and efficiency. Collaborate with data scientists and analysts to understand data requirements and deliver high-quality datasets. Monitor and troubleshoot data pipelines and workflows to ensure data integrity and availability. Document data architecture, processes, and workflows for future reference and compliance. Skills and Qualifications 5-12 years of experience in data engineering or related field. Strong proficiency in AWS services including EC2, S3, Lambda, Glue, and Redshift. Experience with ETL tools and data integration techniques. Proficient in SQL and NoSQL databases. Solid understanding of data modeling and data warehousing concepts. Knowledge of programming languages such as Python, Java, or Scala for data manipulation. Experience with big data technologies like Hadoop, Spark, or Kafka is a plus. Familiarity with data governance and data security best practices.