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Here is the exciting opportunity to work with one of the top 40 Data and Analytics Company worldwide, as recognized by Gartner.
LinkedIn: InfoCepts: Overview | LinkedIn
Website: https://www.infocepts.com
WFH/WFO/Hybrid (Flexible working mode)
Location: Chennai/Bangalore/Pune/Nagpur
Responsibilities:
- Acting as MicroStrategy expert to advice customers in defining MicroStrategy Roadmap, Security guidelines and MicroStrategy architecture for Complex enterprise systems.
- Working directly with our clients, prospects and partners to deliver high quality business intelligence solutions to our customers
- Working with the management on creating project estimates and resource planning
- Developing and testing detailed functional designs for business solution components and prototypes
- Incorporate best practices and standards in metadata and report/dashboard development
Preferred Background:
- 3+ years of experience on MicroStrategy Desktop, Architect, Web
- Experience on Intelligent Cube Development, Custom widget, visualization development and implementation
- Hands of experience on Project creation, schema objects creation, Development of queries, documents & dashboards with flex based widgets
- Experience using Enterprise manager monitoring, auditing and performance tuning and VLDB settings
- Experience in development & integration which will include setting up configuration management, developing components, peer review, creating unit test plans & performing unit testing
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Reports Developer
Description - Data Insights Analyst specializing in dashboard development, data validation, and ETL testing using Tableau, Cognos, and SQL.
Work Experience: 5-9 years
Key Responsibilities
Insights Solution Development:
• Develop, maintain, and enhance dashboards and static reports using Tableau and IBM Cognos.
• Collaborate with Senior Data Insights specialists to design solutions that meet customer needs.
• Utilize data from modeled Business Data sources, Structured DB2 Datamarts, and DB2 Operational Data stores to fulfill business requirements.
• Conduct internal analytics testing on all data products to ensure accuracy and reliability.
• Use SQL to pull and prepare data for use in Dashboards and Reports
Data Management Tasks:
• Test new ETL developments, break-fixes, and enhancements using SQL-based tools to ensure the accuracy, volume, and quality of ETL changes.
• Participate in data projects, delivering larger-scale data solutions as part of a project team.
• Report defects using Jira and work closely with IT team professionals to ensure the timely retesting of data defects
• Utilize Spec. Documentation and Data lineage tools to understand flow of data into Analytics Data sources
• Develop repeatable testing processes using SQL based tools
Technical Experience
• SQL
• Tableau
• Data Visualization
• Report Design
• Cognos Analytics
• Cognos Transformer
• OLAP Modeling (Cognos)
Additional Skills
An Ideal Candidate would have the following additional Skills
• Python
• SAS Programming
• MS Access
• MS Excel
Work Hours: We would like to have the majority of the work hours align to U.S. Eastern time zone with people working until 2 p.m. or 3 p.m. est. so that work hours align to times the Senior Analysts are available and Data Bases are available.
Dear Candidate,
We are urgently Hiring SAP Concur Consultants for Bangalore Location.
Position: SAP Concur Consultant
Location: Bangalore
Experience: 5-7 yrs
Skills: SAP Concur
Salary: Best in Industry (20-25% Hike on the current ctc)
Note:
only Immediate to 15 days Joiners will be preferred.
Candidates from Tier 1 companies will only be shortlisted and selected
Candidates' NP more than 30 days will get rejected while screening.
Offer shoppers will be rejected.
Best Regards,
Minakshi Soni
Executive - Talent Acquisition (L2)
Rigel Networks
Worldwide Locations: USA | HK | IN
Job Title: Tech Lead and SSE – Kafka, Python, and Azure Databricks (Healthcare Data Project)
Experience: 4 to 12 years
Role Overview:
We are looking for a highly skilled Tech Lead with expertise in Kafka, Python, and Azure Databricks (preferred) to drive our healthcare data engineering projects. The ideal candidate will have deep experience in real-time data streaming, cloud-based data platforms, and large-scale data processing. This role requires strong technical leadership, problem-solving abilities, and the ability to collaborate with cross-functional teams.
Key Responsibilities:
- Lead the design, development, and implementation of real-time data pipelines using Kafka, Python, and Azure Databricks.
- Architect scalable data streaming and processing solutions to support healthcare data workflows.
- Develop, optimize, and maintain ETL/ELT pipelines for structured and unstructured healthcare data.
- Ensure data integrity, security, and compliance with healthcare regulations (HIPAA, HITRUST, etc.).
- Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into technical solutions.
- Troubleshoot and optimize Kafka streaming applications, Python scripts, and Databricks workflows.
- Mentor junior engineers, conduct code reviews, and ensure best practices in data engineering.
- Stay updated with the latest cloud technologies, big data frameworks, and industry trends.
Required Skills & Qualifications:
- 4+ years of experience in data engineering, with strong proficiency in Kafka and Python.
- Expertise in Kafka Streams, Kafka Connect, and Schema Registry for real-time data processing.
- Experience with Azure Databricks (or willingness to learn and adopt it quickly).
- Hands-on experience with cloud platforms (Azure preferred, AWS or GCP is a plus).
- Proficiency in SQL, NoSQL databases, and data modeling for big data processing.
- Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for data applications.
- Experience working with healthcare data (EHR, claims, HL7, FHIR, etc.) is a plus.
- Strong analytical skills, problem-solving mindset, and ability to lead complex data projects.
- Excellent communication and stakeholder management skills.
Job Title: CAD Technician (Electrical)
Experience: 3-6 years
Salary: 12-15 LPA
Location: Bangalore (BTM 1st Stage)
Working Days: Monday to Friday
No. of Positions: 2
Role Summary
The CAD Technician will support engineering and design teams by producing high-quality technical drawings for various projects within the HV/EHV electricity grid. This role involves creating, reviewing, and revising detailed designs using CAD software to ensure accuracy, compliance with industry standards, and alignment with project specifications.
Responsibilities include preparing detailed schematics, panel views, layout drawings, maintaining and updating drawing records, and collaborating with engineers to ensure designs meet technical and functional requirements. The role requires excellent attention to detail, effective communication with internal teams and external stakeholders, and the ability to manage deadlines in a fast-paced environment.
Desired Experience:
- Hands-on experience with specific focus in HV/EHV substations and powerplants.
- Knowledge of design tools like AutoCAD for SLD’s, electrical schematics, cable schedules, wiring diagrams, layouts, earthing system etc..
- Has experience of control and protection equipment such as protection relays, BCU(Bay Control Unit), trip relays, AVR etc.
- Familiarity with relevant drawing standards such as IEC61082-1 and IEC60617.
- Knowledge of IEC61850 protocol for substation control & protection system.
- Familiarity with factory and site acceptance tests from design to approval phase.
Key Responsibilities:
- Produce accurate technical drawings and cable lists for HV/EHV substations, power plants,and other related projects..
- Develop and modify detailed engineering drawings, including layout plans, equipment layouts,cable routing, earthing designs.
- Support engineers by preparing detailed schematics, wiring diagrams, single-line diagrams,cable lists and panel views in compliance with industry standards.
- Collaborate with engineering teams to ensure that all designs meet technical specifications and project requirements.
- Conduct site visits and surveys to collect data and verify existing drawings, ensuring accurate representation of field conditions.
- Organize and maintain drawing records in document management systems, ensuring easy access and proper version control.
- Prepare bill of quantities (BOQ) based on engineering drawings.
- Coordinate with external vendors and manufacturers to ensure compatibility of design components with project specifications.
- Provide technical assistance to project and site teams during installation, testing, and commissioning phases.
- Stay updated on advancements in CAD tools, drafting techniques, and engineering design standards.
- Promote teamwork and collaboration, contributing to the overall success of the project by delivering high-quality design outputs on time.
- Promote and enforces safe working environment by enforcing and supporting adequate HSE measures in all activities undertaken by himself & the team, follows ethics and compliances as per company guidelines.
Client Introduction:
We are a global knowledge enterprise driving energy and water industry transformation through innovative solutions. With a strong focus on sustainability, digitalization, and smart infrastructure, we collaborate with utilities, governments, and large enterprises to optimize performance and build a future-ready power network.
Employees: 1000+
Countries: 10
Machine Learning (ML)
Deep Learning
PythonJob Location: Chennai
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.
We are a complete startup. This could be your chance to grow faster in your career.
NodeJS (Node.js)
Go Programming (Golang)
Java
Javascript
React.jsResponsibilities:
- Design, develop, and maintain software applications.
- Go the extra mile to identify customer needs and pain-points.
- Relentless focus on delivering high quality, bug-free code.
- Closely work with the SRE and DevOps team to set up microservices infrastructure.
- Maintaining and auditing code/design quality as per set guidelines and standards in assigned projects.
- Testing of completed tasks in ongoing projects in the team before sending updates to reporting authority/client.
- Participate in application design, code reviews and documentation.
Requirements:
- Experience in agile development process.
- Excellent knowledge of HTML5, CSS3.
- Excellent knowledge of JavaScript.
- Experience with cross-browser, cross-platform and design constraints on the web
- Good understanding and experience of working on Vue.js/React.js.
- Prior experience building REST APIs
- Hands-on experience with Node.js/Golang/Java + Redis + Elasticsearch.
- Experience with AWS/GCP is a plus
- Knowledge of version control systems like GIT.
- Experience in developing automated unit and functional tests
- A minimum of 1 year of experience is needed.
Deep LearningMachine Learning (ML)PythonWe are looking for an engineer with ML/DL background.
Ideal candidate should have the following skillset
1) Python
2) Tensorflow
3) Experience building and deploying systems
4) Experience with Theano/Torch/Caffe/Keras all useful
5) Experience Data warehousing/storage/management would be a plus
6) Experience writing production software would be a plus
7) Ideal candidate should have developed their own DL architechtures apart from using open source architechtures.
8) Ideal candidate would have extensive experience with computer vision applications
Candidates would be responsible for building Deep Learning models to solve specific problems. Workflow would look as follows:
1) Define Problem Statement (input -> output)
2) Preprocess Data
3) Build DL model
4) Test on different datasets using Transfer Learning
5) Parameter Tuning
6) Deployment to production
Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute (preferably IIT/BITS or equivalent)
PythonGo Programming (Golang)React.jsNodeJS (Node.js)
DjangoWe are looking for a director of engineering to lead our engineering department and help us build great products. You’ll manage our infrastructure and ensure all internal systems operate securely and effectively.
To be successful in this role, you should be confident managing our teams while, at the same time, setting goals, budgets and timelines for various projects. We also expect you to be in charge of our integrations with external partners and oversee all software development plans from ideation to execution.
Ultimately, you’ll make sure we use innovative technologies that maximize our productivity and help our company grow.
Job Description:
• Oversee front-end and back-end development teams and their projects
• Monitor reliability and performance of all internal systems to suggestimprovements
• Ensure compliance with security regulations
• Manage software development projects by setting requirements, goals and timelines
• Prepare and manage the engineering department’s budget
• Design strategies for future development projects based on the company’s overallobjectives
and resources
• Hire engineers and coordinate their training
• Implement innovative technologies
• Coordinate with external stakeholders for new integrations and tools
• Review and update policies relevant to internal systems and equipment
Requirements:
• Work experience as a director of engineering, Head of engineering, CTO, Engineering
Manager or in a similar senior-level position at an engineering department
• Extensive experience with cloud technologies and modern human-computerinterfaces
• Hands-on experience in back-end and front-end development
• Good understanding of agile methodologies
• Leadership abilities with a strategic mind
• Excellent project management skills
Stack: Golang, Python, React.js, Docker and Kubernetes, Elastic Search
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