11+ Business-IT alignment Jobs in Chennai | Business-IT alignment Job openings in Chennai
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Key Responsibilities:
- Build and maintain strong relationships with Authorized Partners (APs).
- Drive business growth and enhance partner revenue.
- Provide training, mentoring, and activation support for business partners.
- Ensure compliance with regulatory and procedural standards.
- Promote stock broking products such as Smallcase, Stock SIP, MTF, Investments & Trading.
- Engage, motivate, and develop business partnerships.
- Deliver service excellence and meet key business KPIs.
Requirements:
- Minimum 1 year of experience in broking/financial markets.
- Strong communication & relationship management skills.
- Good knowledge of financial markets & trading.
- Comfortable working in a target-driven environment.
🚀 Hiring: Dot net full stack at Deqode
⭐ Experience: 8+ Years
📍 Location: Bangalore | Mumbai | Pune | Gurgaon | Chennai | Hyderabad
⭐ Work Mode:- Hybrid
⏱️ Notice Period: Immediate Joiners
(Only immediate joiners & candidates serving notice period)
We’re looking for an experienced Dotnet Full Stack Developer with strong hands-on skills in ReactJS, .NET Core, and Azure Cloud Services (Azure Functions, Azure SQL, APIM, etc.).
⭐ Must-Have Skills:-
➡️ Design and develop scalable web applications using ReactJS, C#, and .NET Core.
➡️Azure (Functions, App Services, SQL, APIM, Service Bus)
➡️Familiarity with DevOps practices, CI/CD pipelines, Docker, and Kubernetes.
➡️Advanced experience in Entity Framework Core and SQL Server.
➡️Expertise in RESTful API development and microservices.
Oracle EBS HCM Analyst
Position Description
We are seeking an experienced Techno-Functional Oracle EBS HCM Analyst with deep expertise in HR, Payroll, and OTL (Oracle Time & Labor) modules. The ideal candidate will have a strong understanding of both business processes and technical configurations, ensuring seamless integration, support, and optimization of the Oracle EBS HCM system across multiple GREs and payrolls.
Key Responsibilities:
Configure, maintain, and support Oracle EBS HCM modules including Core HR, Payroll, and OTL.
Manage and support multiple payrolls across several GREs, ensuring accuracy and compliance with organizational and statutory requirements.
Develop, troubleshoot, and optimize Payroll Fast Formulas and related functions.
Ensure compliance with federal and state tax withholding rules and minimum wage regulations.
Perform data validation, extracts, and reporting using SQL and other tools.
Create and maintain end-user documentation, training materials, and functional specifications.
Handle Service Requests (SRs) — creation, tracking, and resolution through Oracle Support or internal teams.
Collaborate with cross-functional teams to support IT and regression testing for patches, upgrades, and other system changes.
Analyze and resolve technical and functional issues impacting HR, Payroll, and OTL operations.
Partner with HR and Payroll business users to identify improvement opportunities and implement system enhancements.
Required Skills & Qualifications:
15+ years of techno-functional experience in Oracle EBS HCM (R12 or higher).
In-depth understanding of HR, Payroll, and OTL configurations and schemas.
Strong experience with Payroll Fast Formulas and core payroll functions.
Expertise in SQL for queries, data validation, and reporting.
Sound knowledge of tax rules, wage compliance, and statutory requirements.
Proven ability to support multiple GREs and payrolls simultaneously.
Experience with testing processes — IT, UAT, and regression testing.
Strong documentation, training, and communication skills.
Proven track record of handling SR lifecycle management effectively.
Nice to Have:
Experience with Oracle EBS R12.2 or higher versions.
Familiarity with Oracle Cloud HCM (for potential migration or hybrid environments).
Exposure to integration tools (e.g., WebADI, BI Publisher, or OTBI).
Job description:
- Will be responsible for acquiring preferred clients (HNI/Ultra HNI).
- To maintain client relationships and generate AUM (Assets Under Management) from preferred clients
- To advise HNI/Ultra HNI clients on their Investments and managing their overall financial portfolio and deepening the wallet from existing clients
- To coordinate with product and research team for taking investment decision for the clients.
- To conduct and assist in organizing seminars, workshops and other business development activities.
- To achieve budgeted targets in terms of number of clients/volume of business & assets
.
- To research, investigate and update themselves on available investment.
- To contact clients periodically and determine if they are satisfied with the service
- To review the clients investment needs to determine whether market changes, life changes, economic changes, or financial performance indicate a need for portfolio reassessment.
- Key products to be handled are - Portfolio Management Services, Model Portfolio, Mutual Funds, Insurance, Bonds, Trading Equity, and Commodities & Currency
Qualification:
- CFP / CFA / MBA in Finance / Marketing
Experience:
- 5+ year experience in financial services/ Broking Company and Insurance sector
Key Skills:
- Should be an individual performer
- Handling a reasonable book size
- Pleasant personality and good communication skills.
Functional Area:
- Marketing
Job 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.

at Altimetrik
Location: Chennai, Pune,Banglore,jaipurExp: 5 yrs to 8 yrs
- Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
- Drive technical decisions for building data pipelines, data lakes, and analyst access.
- Act as a leader within the engineering team, providing support and mentorship for teammates across functions
- Bachelor’s Degree in Computer Science or equivalent job experience
- Experienced developer in large data environments
- Experience using Git productively in a team environment
- Experience with Docker
- Experience with Amazon Web Services
- Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems
· Experience using and adapting to new technologies
· Take and understand business requirements and goals
· Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned
· Strong SQL skills with MySQL or PostgreSQL
- Experience with non-relational databases and their role in web architectures desired
Knowledge and Experience:
- Good experience with Elixir and functional programming a plus
- Several years of python experience
- Excellent analytical and problem-solving skills
- Excellent organizational skills
Proven verbal and written cross-department and customer communication skills
Required Skills:
- Strong BA with presentation skills
- US Customer Engagement experience
- Self-driven – should be able to independently work towards the business objective.
- Should have past experience of program management
- Strong communication skills.
- Must be flexible to work in overlapping times with US PST timezone.
● 3-5 years’ experience managing end to end Software Product Lifecycle from product
research, market research, competitive analysis, ideation, planning, positioning,
roadmap development, requirements development, till product launch
● Proven ability to deliver projects from inception to completion and manage projects
within time and budget constraints
● Deep knowledge of Scrum project management and related experience with project
management methodologies
● Perform user acceptance testing and research to understand the end user’s needs
and experience managing release schedules and deployment strategies
● Experience working across multiple teams with excellent communication,
coordination, and organizational skills
● Communicate product and business requirements by documenting high-level
requirements and user stories
● Collaborate with the UI/ UX team to produce clear wireframes, workflows and visual
designs ready for handoff to development and QA team
● Enjoy building professional relationships and are skilled at resolving differences of
opinion and unite a team
● Knowledge of software change management principles
Required Skills:
● Have solid Product Management experience and an in-depth understanding of
product management processes and frameworks
● Excellent verbal and written communication skills
● Extremely organized and focused on the high-value outcome
● A self-starter who is organized, can identify key focus areas and prioritize time
commitment
● You have a start-up mentality with a “no job too small” and a “go-getter” attitude
● Candidates with past startup experience in SaaS domain would be preferred
If you think you would be a good fit, we'd love to hear from you!
Location: Chennai- Guindy Industrial Estate
Duration: Full time role
Company: Mobile Programming (https://www.mobileprogramming.com/" target="_blank">https://www.
Client Name: Samsung
We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be
responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing
data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline
builder and data wrangler who enjoy optimizing data systems and building them from the ground up.
The Data Engineer will support our software developers, database architects, data analysts and data
scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout
ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple
teams, systems and products.
Responsibilities for Data Engineer
Create and maintain optimal data pipeline architecture,
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
Experience building and optimizing big data ETL pipelines, architectures and data sets.
Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
A successful history of manipulating, processing and extracting value from large disconnected
datasets.
Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data
stores.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
We are looking for a candidate with 3-6 years of experience in a Data Engineer role, who has
attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
Experience with big data tools: Spark, Kafka, HBase, Hive etc.
Experience with relational SQL and NoSQL databases
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Skills: Big Data, AWS, Hive, Spark, Python, SQL




