Devops jobs in India

Qualifications
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Bachelor's or master's degree in computer science, or a comparable field.
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More than 4 years of experience working in the field of DevOps engineering.
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Interest in developing and automating CI/CD and data pipelines for Big Data and analytical / AI solutions.
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Three to five years of experience with DevOps tools and methods (e.g. GitLab, Container services as AWS ECR, CICD)
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Cloud development skills in AWS services as Lambda, S3, DynamoDB, ECR and Stepfunctions including experience with infrastructure as code with Terraform (at least two years of experience)
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Experience in working with other cloud services (Azure/Google) advantageous.
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Programming skills in Python and knowledge about pipeline configuration in scripting languages like bash required (at least one year).
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Experience with data engineering tools and patterns incl. solid knowledge of SQL.
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Knowledge about deployment of frontend applications and development skills with JavaScript libraries or frameworks like React beneficial.
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Analytical skills, team spirit, holistic thinking, and independent work (especially self-learning) required.
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Customer-orientation and quality-consciousness
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Good English skills required due to standard communication language in the team.
Job Description:
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Work in a highly innovative development team dedicated to implementing a new generation of Big-Data Cloud and AI applications supporting the innovation and the digitalization of the company.
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Evaluate and implement modern techniques and services to support the Big Data, AI, and business automation journey of the Festo companies worldwide.
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Design, implementation and operation of CICD pipelines based on the requirements of an international team of cross functional developers.
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Consultant the team and enable the deployment of backend and frontend applications and support their application lifecycle management.
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Development and operation of data pipelines and platform services including the integration and automation under the strict consideration of data security and governance aspects.

We are seeking a highly skilled engineer with expertise in architecting and building scalable, reliable, and well-designed applications to join our team. The ideal candidate will work in our Bengaluru office and follow a hybrid working model which is currently being followed by the team.

Seeking a Lead Engineer to help us manage, maintain, support, and monitor a highly reliable, scalable, and available eCommerce Cloud platform. This person will help us to push new features and bug fixes from development to production in a predictable, automated, low risk and agile manner.

We are seeking a skilled DevOps Developer with expertise in GitLab CI/CD, Kubernetes, and Terraform.

Looking for DevOps Specialist for embedded software/electronics development in medical technology. You will be involved in the development and maintenance/administration of the topics of continuous integration and test automation as well as in the integration into higher-level systems. In addition, you will support the development with regard to the automation of process flows and software testing.

As a senior engineer in DevOps team, ensure the optimal implementation of DevOps practices, thereby enhancing software delivery speed and system reliability.

Our client is looking forward to hire a Senior Devops Engineer who has experience working on "on-prem or legacy products" and then moved to cloud.

Design-build-maintain the Starburst platform, Starburst, DevOps. Proven experience with Starburst or similar distributed SQL query engines (e.g., Presto/Trino).

JD-

· high proficiency and 8+ years' experience with SAP HCM modules (Personnel Administration and Payroll Accounting), in SAP Customization (Wage types, Schema and Rules) and ABAP Workbench development, with the ability to design and build reusable solutions across multiple lines of business.

· a proven track of work experience in cloud (MS Azure platform preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, SQL and noSQL databases, and test-driven development.

· Experience of integrating SAP HCM with Azure Databricks is important.

The role requires strong proficiency in Angular (preferred) and .NET, with experience in public cloud platforms such as AWS, Azure, or GCP. Candidates should have the ability to write standard SQL queries, possess database management experience, and have some exposure to DevOps practices. The position involves 70% hands-on development, focusing on coding in .NET and Angular, and 30% on architectural design and solution building.

As a staff DevSecOps we want someone with 8+ years in DevOps, with at least 3 years focused on DevSecOps in a cloud environment. Proficient in cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), and CI/CD tools (Jenkins, GitLab CI/CD) with strong understanding of security principles, practices, and tools (e.g., SAST, DAST, SIEM, IDS/IPS).

Job Description-

For a Data Engineer with skills in Informatica, Data Warehouse - ETL, and AWS, the required skill set typically includes the following:Exp- 8+ years
Location- Mumbai (Andheri East)

1. Informatica

• Proficiency in Informatica PowerCenter, Informatica Cloud, or other relevant Informatica tools.
• Ability to develop and maintain ETL mappings, sessions, and workflows using Informatica.
• Experience in data transformation, cleansing, and validation processes.
• Understanding of Informatica performance tuning techniques to optimize load performance.
• Knowledge of metadata management and data quality tools within the Informatica ecosystem.

2. Data Warehouse & ETL

• Strong understanding of data warehousing concepts like star schema, snowflake schema, dimension tables, and fact tables.
• Proficiency in designing and developing ETL pipelines for data integration.
• Experience with SQL and PL/SQL for querying and managing relational databases.
• Knowledge of data modeling, including dimensional modeling and normalization techniques.
• Ability to manage large-scale data migration projects.

3. AWS (Amazon Web Services)

• Experience with AWS Data Services, including:
  • Amazon Redshift for data warehousing.
  • AWS Glue for ETL jobs.
  • Amazon S3 for data storage and integration.
  • Amazon RDS and Aurora for relational database services.
• Proficiency in AWS Lambda for serverless computing, particularly for data processing.
• Knowledge of IAM (Identity and Access Management) for managing AWS permissions.
• Familiarity with CloudFormation or Terraform for automating infrastructure deployment.
• Experience with monitoring and logging on AWS using CloudWatch or other third-party tools.

4. General Data Engineering Skills

• Strong problem-solving skills and ability to troubleshoot data pipeline issues.
• Knowledge of big data tools like Apache Spark, Hadoop, or Kafka is a plus.
• Familiarity with version control systems like Git.
• Experience with Agile or Scrum development methodologies.
• Understanding of DevOps principles, particularly for CI/CD pipelines involving data engineering processes.

Additional Skills (Optional but Beneficial)

• Python or Java for scripting and automation in data workflows.
• Experience with Docker or Kubernetes for containerizing data applications.
• Knowledge of data governance and data security best practices.

This skill set makes you highly competitive in roles that involve designing and building robust data pipelines, optimizing data warehousing solutions, and integrating AWS cloud services.