11+ Mobile App Marketing Jobs in Chennai | Mobile App Marketing Job openings in Chennai

Role & Responsibilities:

AWS Cloud Management:

• Lead the design, deployment, and management of AWS cloud infrastructure to ensure

scalability, security, and reliability.

• Oversee the implementation of best practices for cloud resource utilization.

Automated Provisioning:

• Drive the development and maintenance of automated provisioning processes for

infrastructure deployment, leveraging tools such as Terraform and Packer.

• Continuously enhance deployment workflows to optimize efficiency.

Financial Operations (FinOps):

• Implement and champion FinOps practices to optimize cloud costs and resource

utilization.

• Conduct regular cost analysis and identify opportunities for cost savings without

compromising performance.

Infrastructure as Code (IaC):

• Collaborate with teams to implement and maintain IaC scripts for infrastructure

configuration and deployment.

• Ensure version control and consistency in infrastructure code across projects.

Team Leadership:

• Lead and mentor a team of DevOps engineers, providing technical guidance and

support.\

• Foster a collaborative and innovative team culture focused on continuous improvement.

Continuous Integration/Continuous Deployment (CI/CD):

• Drive the implementation and maintenance of CI/CD pipelines to automate software

delivery processes.

• Ensure seamless and reliable application deployments across environments.

Monitoring and Optimization:

• Implement monitoring solutions for cloud resources and applications.

• Proactively identify and address performance bottlenecks, ensuring optimal system

performance.

Greetings from Zealous Services !!!

Looking for a career in the 3D Modelling and Animation Field???

We have Immediate requirements for 3D Trainees.

Experience: Fresher

Designation: 3D Trainee

Age Limit: 18-26 yrs

Training Period: 2 months (with monthly Stipend)

Flexible to work in Rotational Shifts

Chennai Candidates are preferred.

Educational Qualifications: Any Graduates can apply (2022 - 2023 passed outs)

Location: Nungambakkam

Documents Mandatory:

1. Carry Updated resume and Aadhar xerox.
2. All your original educational documents are for verification purposes.

Venue Details:

Zealous Services

No.17/7, 'B' Block Ground Floor NRCS Towers,

Kodambakkam High Road, Nungambakkam.

Chennai - 600034

Landmark: Near Hotel Palm Grove, Opp to Domino's.

Contact : IRFAN HR

Refer to your Friends too!! Don't Miss It!!

Java with cloud

• 5+ years of experience in a Data Engineering role on cloud environment

• Must have good experience in Scala/PySpark (preferably on data-bricks environment)

• Extensive experience with Transact-SQL.
• Experience in Data-bricks/Spark.

• Strong experience in Dataware house projects
• Expertise in database development projects with ETL processes.
• Manage and maintain data engineering pipelines

• Develop batch processing, streaming and integration solutions
• Experienced in building and operationalizing large-scale enterprise data solutions and applications

• Using one or more of Azure data and analytics services in combination with custom solutions
• Azure Data Lake, Azure SQL DW (Synapse), and SQL Database products or equivalent products from other cloud services providers

• In-depth understanding of data management (e. g. permissions, security, and monitoring).
• Cloud repositories for e.g. Azure GitHub, Git
• Experience in an agile environment (Prefer Azure DevOps).

Good to have

• Manage source data access security
• Automate Azure Data Factory pipelines
• Continuous Integration/Continuous deployment (CICD) pipelines, Source Repositories
• Experience in implementing and maintaining CICD pipelines
• Power BI understanding, Delta Lake house architecture
• Knowledge of software development best practices.
• Excellent analytical and organization skills.
• Effective working in a team as well as working independently.
• Strong written and verbal communication skills.
• Expertise in database development projects and ETL processes.

Role- Software Development Engineer-2

As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.

Top Skills

You write high quality, maintainable, and robust code, often in Java or C++ or C#

You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.

You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.

Roles & Responsibilities

You solve problems at their root, stepping back to understand the broader context.

You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.

You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.

You recognize and use design patterns to solve business problems.

You understand how operating systems work, perform and scale.

You continually align your work with Amazon’s business objectives and seek to deliver business value.

You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.

You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.

You communicate clearly with your team and with other groups and listen effectively.

Skills & Experience

Bachelors or Masters in Computer Science or relevant technical field.

Experience in software development and full product life-cycle.

Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.

Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.

Proficiency in SQL and data modeling.