SEO

• Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile
• Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
• Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
• Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company
• Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
• Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
• Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)
• Mandatory (Education) - Must be from Tier - 1 Colleges, preferred IIT
• Mandatory (Company) - B2B Product Companies with High data-traffic

Preferred Companies

MoEngage, Whatfix, Netcore Cloud, Clevertap, Hevo Data, Snowflake, Chargebee, Fractor.ai, Databricks, Dataweave, Wingman, Postman, Zoho, HighRadius, Freshworks, Mindtickle

We are looking for an AI/ML Engineer to build AI-powered applications for prediction, analytics, and intelligent reporting.

You will work with structured databases and unstructured data (PDFs, documents, logs).

Design and implement data ingestion, preprocessing, and feature pipelines.

Build ML models for prediction, trend analysis, and pattern detection.

Enable chat-based insights using LLMs for querying data and generating reports.

Implement role-based access control (RBAC) and secure AI workflows.

Integrate AI models into web/mobile applications via APIs.

Optimize model performance, accuracy, and scalability.

Work with vector databases, embeddings, and semantic search.

Collaborate with product and engineering teams on AI architecture.

Ensure data security, privacy, and compliance best practices.

Stay updated with latest AI/ML tools and frameworks

About the role:

You will own a functional area - from product conception to its delivery to customers. You are expected to design and code independently in multiple tech components related to your functional area. You must also develop a deep understanding of non-functional requirements, such as reliability and availability, scale, horizontal scalability, etc. over time to make tech stack decisions accordingly. You are expected to actively mentor junior engineers. You own

the codebase quality.

We are looking for seasoned engineers who are quality-conscious, product thinkers, business cognizant and smart. Engineers get to significantly amplify the impact of their work or creations with scale. The scale also demands that engineers to produce super-efficient solutions.

What you’ll do

• Strong experience with Java 8, Spring and Spring Boot, Spring MVC, Spring Data,
• Working experience in Microservices
• Version Control: Git
• Strong understanding of functional/reactive programming, OOP, design
• Experience with Docker and Kubernetes.
• SDLC: Working experience in Agile methodology
• Strong interpersonal skills and time management skills

What you’ll need

• B.Tech or M.Tech equivalent with at least 3 years of experience
• Deep expertise in at least one programming language & tech stack.
• Strong object-oriented design skills, ability to apply design patterns, and an uncanny ability to design intuitive module and class-level interfaces
• Experience in building data-driven web application design and development is a plus
• Good understanding of multiple tech solutions and ability to pick the correct one for the given situation
• Prior work experience in an agile environment or continuous integration and continuous delivery (CI or CD)
• Ability and experience in designing high-level software designs of the scalable system, taking NFR (non-functional requirement) into consideration

Since 1988 Quicken has been the top personal management software for millions of consumers. We pioneered a radically easier and faster way for people to manage their household finances. Since then we’ve continued to focus on delighting customers and making the Quicken product and experience better than ever.

Job Title:        Senior Data Engineer

Location:        Bangalore, India

Department:  Product Development

Quicken is the #1 personal finance management software with a 30-year heritage of helping millions of individuals and families stay on top of their finances. We are working on a strategy to deliver awesome personal finance experience to our customers across Windows, Mac, iOS, Android, and Web.

The successful candidate will join a fast-paced software development team building the next generation of Quicken Data Platform. The team uses the latest software development technology and tools.

If you are looking to be part of a high-performing team at the heart of a fun, energetic, and innovative company, come join the Quicken Team!

Responsibilities:

This is an opportunity to be a highly visible and key contributor on a small and passionate team delivering innovative data platform solutions across the company. You’ll help shape and deliver on an aggressive and innovative roadmap in areas key to Quicken’s continued success and growth.

• Senior Data Engineer role is a technical hands-on role. The responsibilities range from being at the vanguard of solving technical problems to venturing into unchartered areas of technologies to solve complex problems.
• Implement, or operate comprehensive data platform components to balance optimization of data access with batch loading and resource utilization factors, per customer requirements.
• Develop robust data platform components for sourcing, loading, transformation, and extracting data from various sources.
• Build metadata processes and frameworks.
• Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
• Maintain standards, such as organization, structure, or nomenclature, for data platform elements, such as data architectures, pipelines, frameworks, models, tools, and databases.
• Implement business rules via scripts, middleware, or other technologies.
• Map data between source systems and data lake
• Ability to be independent and product high quality code on components related to the Data Platform. Should also possess Creativity, Responsibility, and Autonomy.
• Participate in the planning, design, and implementation of features, working with small teams that consist of engineers, product managers, and marketing.
• Demonstrate strong technical talent throughout the organization and engineer products that meet future scalability, performance, security, and quality goals while maintaining a cohesive user experience across different components and products.
• Adopt and share best practices of software development methodology and frameworks used in data platform.
• Passion for continuous learning, experimenting and applying cutting edge technology and software paradigms. Also responsible for fostering this culture across the team.

Qualifications: 

• 3+ years of hands-on experience with data platform technologies and tools
• Extensive experience in Python
• Should be comfortable with using REST APIs
• Experience in  at  least  2  of  the  3  stages  of  any  big  data  pipeline  -  data

ingestion/acquisition, data processing/transformation and data visualization

• Experience in  database  user  interface  and  query  software  -  Structured  query language (SQL)
• Experience in one or more structured DBMS along with data modelling – MySQL
• Nice to have working experience in big data processing frameworks like Spark
• Nice to have working knowledge on visualization tools like Tableau, Kibana, Amazon QuickSight
• Nice to have familiarity in AWS EMR, Kinesis, EC2, S3, AWS Glue
• Experience working with geographically distributed teams across different time zones
• Strong communication skills, both oral and written whether in-person or virtual
• Experience with Agile methodologies
• Bachelor’s degree in computer science or other technical discipline, or equivalent experience

What we offer:

• Competitive salary and performance bonus
• Amazing culture, strong believers in Autonomy/Mastery/Purpose
• Customer-driven, we make money by building the best products for our users. No confusion about how to win – build amazing products!
• Ability to work with and learn from some incredible talent
• Highly recognizable brand

Corporate sales manager Bangalore location

Receiving, handling and converting Meetings, Events and Group enquiries.

Planning events in conjunction with the client.

Presenting and Selling available and suitable banquet / event options to the highest possible standard.

Contact Meeting Planner by mail, telephone, customer outings and site inspections.

Ensure the complete administration and execution of all planned events.

Negotiate space, dates and rates to obtain booking goal while focusing on shoulder and off season business.

Identify need periods and undertake comprehensive program of sales activity to secure new and adhoc business minimizing the impact of low activity periods.

Assist in development and solicitation of Banquet and event package plans and aimed at conference business and encourage repeat business.

Attend trade and travel shows of various market area for promoting hotels event business.

Actively manage business bookings, record denials, make network referrals.

Make commercial decisions to maximize MICE income on a daily basis.

Continue professional development through educational offering made via industry trade groups and educational institutions.

Encouraging repeat business through excellent customer service and inquiry handling.

Build strong relationships with customers to fully understand their needs.

Ensure online meeting partner websites are regularly updated and managed including photos, descriptions, and promotions.

Each month review the next 6 months availability to highlight high or low demand dates and take steps to minimize the risk of any shortfall or overbooking.

Ensuring all inquiries are recorded accurately in the Event Enquiry application (Opera S&M, Delphi, Protel Banquet, MICE software etc.).

Bring in direct guests though online marketing and advertising.

Helping the hotel to identify new avenues of business and bring in more banquet events to the hotel.

Assist in the preparation and monitoring of sales, department and budgetary reports as and when required.

Other duties and tasks assigned by the management within the job scope.

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.

• Understanding learning needs and objectives of different cohorts
• Coordinating internal requirements for specific training programs
• Creating invites, encouraging participation and tracking attendance for trainings
• Running post training surveys and analyzing data to measure learning effectiveness and impact
• Managing learning programs end to end
• Supporting in designing and developing learning programs
• Creating summary reports with key learnings, basis training evaluation post trainings
• Running various other training initiatives and tasks as per the need and as the firm evolves

Desired Candidate Profile

• MBA/ Masters in HR or related discipline with 5-6 years of relevant work experience
• Prior experience in corporate learning function is essential
• Ability to execute plans
• Strong program management and organizing capability
• Excellent communication skills
• Ability to coordinate effectively with multiple stakeholders
• Proficiency with Word, Excel and PowerPoint