As a Senior Cloud Data Platform (AWS) Specialist at Incedo, you will be responsible for designing, deploying and maintaining cloud-based data platforms on the AWS platform. You will work with data engineers, data scientists and business analysts to understand business requirements and design scalable, reliable and cost-effective solutions that meet those requirements.
Roles & Responsibilities:
Designing, developing and deploying cloud-based data platforms using Amazon Web Services (AWS)
Integrating and processing large amounts of structured and unstructured data from various sources
Implementing and optimizing ETL processes and data pipelines
Developing and maintaining security and access controls
Collaborating with other teams to ensure the consistency and integrity of data
Troubleshooting and resolving data platform issues
Technical Skills
Skills Requirements:
In-depth knowledge of AWS services and tools such as AWS Glue, AWS Redshift, and AWS Lambda
Experience in building scalable and reliable data pipelines using AWS services, Apache Spark, and related big data technologies
Familiarity with cloud-based infrastructure and deployment, specifically on AWS
Strong knowledge of programming languages such as Python, Java, and SQL
Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
Must understand the company''s long-term vision and align with it.
Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.
Nice-to-have skills
Qualifications
4-6 years of work experience in relevant field
B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred
Job Classification
Industry: BankingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time