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4.0 - 8.0 years

0 Lacs

pune, maharashtra

On-site

You should have a minimum of 4 years of experience in a similar role as a senior engineer within a Systems Administrator and DevOps role, focusing on delivering engineering and operations towards platform/infrastructure architecture with ISO 27001 and SOC 2 compliance. You should be highly skilled and mostly self-sufficient in various areas including any Linux distribution(s), AWS services such as IAM, VPC, EC2, and ECS, as well as Terraform. Certification in these areas would be considered a bonus. Additionally, you should have moderate to highly skilled in writing Ansible playbooks to automate server provisioning and possess basic to moderate skills in Python scripting. Strong fundamentals in technical support are required, with experience in troubleshooting systems related to virtualized compute, networking, and storage. Proven hands-on experience in the mentioned areas is essential for this role. You should have experience working within ITIL service management frameworks and be capable of developing process improvements. Familiarity with agile methodologies, including working with scrum teams, sprints, and Kanban boards is necessary. Proficiency in using Atlassian services such as JIRA, Confluence, and Bitbucket is expected. Moreover, you should be comfortable working within a Dev-Sec-Fin-Ops culture and practice, emphasizing the integration of development, security, finance, and operations within the organizational framework.,

Posted 1 month ago

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5.0 - 8.0 years

18 - 25 Lacs

Pune

Work from Office

We are seeking a talented and passionate Senior Data Engineer to join our growing data team. In this role, you will play a key part in building and scaling our data infrastructure, enabling data-driven decision-making across the organization. You will be responsible for designing, developing, and maintaining efficient and reliable data pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform, Load) processes. Responsibilities: Design, develop, and maintain robust and scalable data pipelines for ELT and ETL processes, ensuring data accuracy, completeness, and timeliness. Work with stakeholders to understand data requirements and translate them into efficient data models and pipelines. Build and optimize data pipelines using a variety of technologies, including Elastic Search, AWS S3, Snowflake, and NFS. Develop and maintain data warehouse schemas and ETL/ELT processes to support business intelligence and analytics needs. Implement data quality checks and monitoring to ensure data integrity and identify potential issues. Collaborate with data scientists and analysts to ensure data accessibility and usability for various analytical purposes. Stay current with industry best practices, CI/CD/DevSecFinOps, Scrum and emerging technologies in data engineering. Contribute to the development and enhancement of our data warehouse architecture Requirements Mandatory: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as a Data Engineer with a strong focus on ELT/ETL processes. At least 3+ years of exp in Snowflake data warehousing technologies. At least 3+ years of exp in creating and maintaining Airflow ETL pipelines. Minimum 3+ years of professional level experience with Python languages for data manipulation and automation. Working experience with Elastic Search and its application in data pipelines. Proficiency in SQL and experience with data modelling techniques. Strong understanding of cloud-based data storage solutions such as AWS S3. Experience working with NFS and other file storage systems. Excellent problem-solving and analytical skills. Strong communication and collaboration skills.

Posted 2 months ago

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