Support Engineer

Job Description:

We are seeking a Tableau Developer with 5+ years of experience to join our Core Analytics team. The candidate will work on large-scale BI projects using Tableau and related tools.

Must Have:

• Strong expertise in Tableau Desktop and Server, including add-ons like Data and Server Management.
• Ability to interpret business requirements, build wireframes, and finalize KPIs, calculations, and designs.
• Participate in design discussions to implement best practices for dashboards and reports.
• Build scalable BI and Analytics products based on feedback while adhering to best practices.
• Propose multiple solutions for a given problem, leveraging toolset functionality.
• Optimize data sources and dashboards while ensuring business requirements are met.
• Collaborate with product, platform, and program teams for timely delivery of dashboards and reports.
• Provide suggestions and take feedback to deliver future-ready dashboards.
• Peer review team members’ dashboards, offering constructive feedback to improve overall design.
• Proficient in SQL, UI/UX practices, and alation, with an understanding of good data models for reporting.
• Mentor less experienced team members.

Role - MLops Engineer

Location - Pune, Gurgaon, Noida, Bhopal, Bangalore 

Mode - Hybrid

Role Overview

We are looking for an experienced MLOps Engineer to join our growing AI/ML team. You will be responsible for automating, monitoring, and managing machine learning workflows and infrastructure in production environments. This role is key to ensuring our AI solutions are scalable, reliable, and continuously improving.

Key Responsibilities

• Design, build, and manage end-to-end ML pipelines, including model training, validation, deployment, and monitoring.
• Collaborate with data scientists, software engineers, and DevOps teams to integrate ML models into production systems.
• Develop and manage scalable infrastructure using AWS, particularly AWS Sagemaker.
• Automate ML workflows using CI/CD best practices and tools.
• Ensure model reproducibility, governance, and performance tracking.
• Monitor deployed models for data drift, model decay, and performance metrics.
• Implement robust versioning and model registry systems.
• Apply security, performance, and compliance best practices across ML systems.
• Contribute to documentation, knowledge sharing, and continuous improvement of our MLOps capabilities.

Required Skills & Qualifications

• 4+ years of experience in Software Engineering or MLOps, preferably in a production environment.
• Proven experience with AWS services, especially AWS Sagemaker for model development and deployment.
• Working knowledge of AWS DataZone (preferred).
• Strong programming skills in Python, with exposure to R, Scala, or Apache Spark.
• Experience with ML model lifecycle management, version control, containerization (Docker), and orchestration tools (e.g., Kubernetes).
• Familiarity with MLflow, Airflow, or similar pipeline/orchestration tools.
• Experience integrating ML systems into CI/CD workflows using tools like Jenkins, GitHub Actions, or AWS CodePipeline.
• Solid understanding of DevOps and cloud-native infrastructure practices.
• Excellent problem-solving skills and the ability to work collaboratively across teams.

We are looking for "Mulesoft Developer" for Reputed Client @ Coimbatore Permanent Role.

• 5 Years of IT experience

• Current 3+ years of hands-on MuleSoft development experience, including creating custom Mule

• Enterprise-level Java development experience (ex. J2EE web development experience using but not limited to EJB, Servlet, JDBC, ORM, etc.)

• Experience with SOAP and REST Web services, RAML Swagger open API development, and SOA APIs ensuring MuleSoft best practices.

• Experience with concepts for MuleSoft implementations including encryption, security, logging, throttling, scalability and clustering.

• A pro-active individual with strong communication skills

We are seeking a Azure Infrastructure Engineer to join our team. This role involves deploying, managing, and optimizing Azure resources while ensuring their security, performance, and compliance. The engineer collaborates with clients, cross-functional teams, and senior engineers to provide exceptional support for our managed services client portfolio.

​

Responsibilities:

• Assist in the deployment and configuration of Azure resources, including virtual machines, databases, and Azure App Services following best practices and client requirements.
• Utilize Azure Migrate to assist with migration projects.
• Monitor the performance, security, and availability of Azure services and promptly address any issues or outages.
• Perform server updates and apply security patches.
• Identify future engagement opportunities during existing client engagements and convey those needs to account executives and practice leadership.
• Participate in an on-call rotation.
• After hours / weekend work may be a required.
• All other duties as assigned.

Requirements:

• Advanced degree or relevant certifications in Information Technology, or a related field are a plus.
• Accountability to drive resolution to completion.
• Familiarity with the Azure Portal.
• Knowledge of Microsoft Office 365 suite, including Outlook, SharePoint, Teams, and OneDrive.
• Troubleshoot and resolve common problems efficiently.
• Proficiency in scripting languages (PowerShell / Azure CLI) to automate tasks, deploy resources, and manage Azure infrastructure.
• Familiarity with cloud computing concepts, such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
• Effective verbal and written communication skills to collaborate with clients, team members, and stakeholders.

Preferred Knowledge, Skills, and Abilities:

• Two or more years in IT or working with cloud technology.
• Experience working for an MSP.
• Ability to identify and resolve common Azure-related issues, including network configurations, security settings, and performance optimization.
• Create detailed documentation for configurations, troubleshooting procedures, and solutions.

Benefits:

• Work Location: Remote
•  days working

You can apply directly through the link: https://zrec.in/mnWs1?source=CareerSite

Explore our Career Page for more such jobs : careers.infraveo.com

JOB TITLE: ASSOCIATE MANAGER - TELUGU PROGRAMMING

LOCATION: NAVI MUMBAI, INDIA (Remote)

RESPONSIBILITIES:

 Assist in managing the daily Telugu programming and curation strategy. Working knowledge of

Kannada + Malayalam is a big plus

 Basic data analysis and number crunching is an important part of this role

 Work with the Programming Teams as well as other cross-functional teams to achieve various

organizational objectives

 Act as a liaison between various departments to ensure the on time and orderly flow of work

 Curate and maintain a substantial number of varied playlists based on different Moods, Genres

and Activities.

 Think of creative ideas & concepts for Festivals, events & Trending Topics

 Stay on top of new music releases

 Help find ways to organize, facilitate, and improve general programming processes

 Create and update departmental calendar and project status

 Keep entire team informed on the current status of all jobs in progress via status meetings

 Keep abreast of all work in the Programming Department and follow up on due dates that were

established for copy, artwork, playlists and other deliverables

REQUIREMENTS:

 Bachelor’s/ Master’s degree

 Proficient in Telugu – reading and understanding

 3-5 years’ experience in the music industry, ideally programming for music services, working

with a broad range of music content

 Basic data analysis and number crunching

 Passionate about music and have deep knowledge of music culture (Telugu).

 Highly organized, creative self-starter with experience working on multiple projects at the same

time

 Care about attention to detail and organization, have a team spirit, strong work ethic, and a

sense of humor

 Exceptional time management and prioritization skills

 Out-of-the-box thinking and ideas that can significantly contribute to Company’s success.

BENEFITS AND PERKS:

We blur work and play, and you get all the perks of a global company. You will get to

work with a dynamic group of entrepreneurs, who are delivering results and working zealously to

make a difference in the way the world experiences music.

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

We are looking for a DataOps Engineer with expertise while operating a data lake. Amazon S3, Amazon EMR, and Apache Airflow for workflow management are used to build the data lake.

You have experience of building and running data lake platforms on AWS. You have exposure to operating PySpark-based ETL Jobs in Apache Airflow and Amazon EMR. Expertise in monitoring services like Amazon CloudWatch.

If you love solving problems using yo, professional services background, usual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Operate the current data lake deployed on AWS with Amazon S3, Amazon EMR, and Apache Airflow
• Debug and fix production issues in PySpark.
• Determine the RCA (Root cause analysis) for production issues.
• Collaborate with product teams for L3/L4 production issues in PySpark.
• Contribute to enhancing the ETL efficiency
• Build CloudWatch dashboards for optimizing the operational efficiencies
• Handle escalation tickets from L1 Monitoring engineers
• Assign the tickets to L1 engineers based on their expertise

What are we looking for?

• AWS data Ops engineer.
• Overall 5+ years of exp in the software industry Exp in developing architecture data applications using python or scala, Airflow, and Kafka on AWS Data platform Experience and expertise.
• Must have set up or led the project to enable Data Ops on AWS or any other cloud data platform.
• Strong data engineering experience on Cloud platform, preferably AWS.
• Experience with data pipelines designed for reuse and use parameterization.
• Experience of pipelines was designed to solve common ETL problems.
• Understanding or experience on various AWS services can be codified for enabling DataOps like Amazon EMR, Apache Airflow.
• Experience in building data pipelines using CI/CD infrastructure.
• Understanding of Infrastructure as code for DataOps ennoblement.
• Ability to work with ambiguity and create quick PoCs.

You will be preferred if

• Expertise in Amazon EMR, Apache Airflow, Terraform, CloudWatch
• Exposure to MLOps using Amazon Sagemaker is a plus.
• AWS Solutions Architect Professional or Associate Level Certificate
• AWS DevOps Professional Certificate

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers 

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment: 

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.