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Data Engineer


TechClub Inc


Location

Bangalore | India


Job description

We are looking to hire a Data Engineer role with AWS Redshift experience . This is a Hybrid role based in Bangalore, India.

Job Title:

AWS Redshift Data Engineer

Job Description

Collaborate with data engineering and development teams to design, develop, test and maintain robust and scalable ELT/ETL pipelines using Redshift and other AWS tools and services. Collaborate with our engineering and data teams to understand business requirements and data integration needs, translate them into effective data solutions that yield top-quality outcomes. Provide technical expertise and guidance in AWS data technologies and services to internal teams. Architect, implement, and manage end-to-end data pipelines, ensuring data accuracy, reliability, data quality, performance, and timeliness. Perform data profiling and analysis to troubleshoot data-related challenges / issues build solutions to address those concerns. Collaborate with development teams to integrate applications and services with environments. Work closely with version control team to maintain a well-organized and documented repository of codes, scripts, and configurations. Stay up to date with the latest advancements in AWS data services and industry trends to propose innovative solutions and improvements.

Qualification & Work Experience:

Bachelor's degree in computer science, information technology, or a related field. 4+ years of hands-on experience designing, developing, and maintaining data pipelines and ETL processes on AWS Redshift, including data lakes and data warehouses. In-depth knowledge of AWS Redshift, Lambda, S3, Glue Crawler, Data Catalogue and Athena query. Experience with AWS application integration services like SQS, SNS. Experience with architecting and implementing highly available, scalable, and fault tolerant cloud solutions. Strong understanding of ETL best practices, data integration, data modeling, and data Transformation. Experience with complex ETL scenarios, such as CDC and SCD logics, and integrating data from multiple source systems. Excellent problem-solving and troubleshooting skills with the ability to analyze complex issues and provide effective solutions. Strong communication and collaboration skills to work effectively with cross functional teams. Familiarity with DevOps practices and tools such as CI/CD pipelines, Docker, and (a plus).

Certifications: AWS certifications such as AWS Cloud Data Engineer or equivalent.


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