11+ DA Jobs in Chennai | DA Job openings in Chennai

• Research and test novel machine learning approaches for analysing large-scale distributed computing applications.
• Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness
• Work closely with other functional teams to integrate implemented systems into the SaaS platform
• Suggest innovative and creative concepts and ideas that would improve the overall platform

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The ideal candidate must have the following qualifications:

• 5 + years experience in practical implementation and deployment of large customer-facing ML based systems.
• MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills
• In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python is a must
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems.

Chennai, India

About Klenty:

Klenty is a Software Product company operating in the Sales Engagement category.

One of the fastest growing SAAS startups in the sales engagement space, Klenty is headquartered in California and operates from Chennai, India.

Klenty’s Sales Engagement Product helps thousands of sales teams automate all the repetitive activities involved in the sales process like sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus more on activities like building relationships and closing deals.

With over 3000 customers all over the world, we are on a mission to transform every B2B Sales team into an unstoppable force

Join us in building the future of sales engagement software

Our project entails implementing our pre-approved UI, constructing our API, connecting the two, and setting up our server infrastructure. This includes all associated areas such as database and architecture design.

Roles and Responsibilities

• Knowledge in MERN Stack is mandatory
• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Conduct Testing & Debugging, utilize script tools & write basic codes for design specifications
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

Industry

• Software Development

Employment Type

• Full-time

Position Title:  SAP FI/FSCM

CTC:           28-30 LPA 

Experience:    9 - 15 years

Location:       Pune, Mumbai, Hyderabad, Bangalore, Gurgaon

Work mode:   Hybrid

Primary Skills:  SAP S/4HANA, General Ledger Accounting, Accounts Receivable and   Accounts Payable

Qualification:   Any

Role Description: 

• The incumbent would be required to support the implementation team in company code roll-outs and would

• also be responsible for post go-live support in the RUN phase of the project.

Good To Have Skills

• FSCM Collection Management and FSCM Dispute Management in S/4HANA

• Group Reporting in S/4HANA

• Taxes on Sales / Purchase and Withholding Tax

• Bank Accounting & Asset Accounting in S/4HANA.

• Cost Centre Accounting, Integration with SAP PS / MM / SD

Must To Have Skills:-

• General Ledger Accounting, Accounts Receivable and Accounts Payable in SAP  S/4HANA

• Parallel Accounting with multiple accounting principles and multiple currency types.

Level                    : Senior Consultant

Location             : Chennai

Experience         : 9 to 15 years

• Must be a seasoned IT Business Analyst
• Must have good experience in Payments domain
• Good Communication Skills
• Well versed with Agile and Scrum
• In depth understanding of agile methodologies

Job description

We are looking for young and talented candidates for our Core team at Impact Guru.

Job Responsibilities:

Promotion & Engagement (Mall activities & promotional fundraising)

• Donor Acquisition and Retention through the Malls, Residential engagement and promotional activities.
• Donor acquisition from street, High foot fall areas.
• Regular Donation Validation.
• Properly issuance of the TEC (Tax Exempt Certificate) under 80G

Qualifications and skills:

• Good English communication skills
• Required Exp - Sales, Business development, fundraising, field job
• Freshers eager to learn are welcomed
• Strong command over regional language
• Enthusiastic & extrovert personality
• MS Office proficient.

Additional Perks:

• Daily work allowance over and above CTC
• Performance Incentives over and above target achievement
• Skill development & training opportunities

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
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.

1. We are looking for candidates who have good programming skills. Strong on data structures, algorithms, understand time space complexity, able to come up with multiple solutions and then arrive at most optimized one keeping in mind customer requirements. Should also be well aware of OO concepts. If he / she has a strong background on these areas ( in any programming language), half the job is done. – 50% weightage
2. Next the candidate should have worked on JS  with good hands on experience in a few projects mainly in backend development like making api calls, handling exception, models, data transformations, controllers etc.  – 20-30% weightage
3. The last would be having some experience in any one of react.js/ node.js or even angular.js since some of these are being used in the current project. – 20-30% weightage
4. Prefer candidates with Angular (ver 8+), react (ver 16+), Node (Ver 14+) and extremely good in JavaScript, HTML & CSS
5. Experience : 4-6 years relevant

We are currently looking for a Senior QA Engineer to join our fast-growing QA team. With our Product Engineering team rapidly iterating and deploying new code, our Test Engineers drive the crucial effort of designing automated test suites that are reliable and maintainable. This team is tasked with ensuring the automated testing of Socure’s existing code and developing thorough test approaches for new features and products. 

This role reports directly to our Director of QA, and will be based in Chennai, India. If you are someone who is motivated by solving problems and improving efficiencies, apply now! 

• Work closely with the rest of the Engineering team to deliver high quality products in an agile development environment
• Participate in product design discussions and sprint planning meetings
• Participate in full cycle SDLC: initial design, test implementation, identifying bugs, verifying bug fixes and production release
• Design and write comprehensive test plans and test cases for releases
• Perform manual and automated testing for REST web service APIs / web applications
• Build and enhance automated test suites and test harnesses
• Improve and maintain high coverage of regression automated tests
• Improve and innovate the tooling to run tests reliably and efficiently
• Test and verify requirements of newly implemented code by Engineering for Data Scientists
• Perform statistical analysis on project data for Data Science

• 5+ years of experience with testing, test automation and development
• Strong experience in designing and reviewing test plans and test cases
• Solid experience in both manual and automated testing for REST web service APIs and/or web applications
• Experience in automation frameworks, like testNG, Selenium or Cypress
• Strong coding skills in programming languages like Java, Scala or Javascript
• Experience working in an agile development environment
• Capable of comprehending and contributing to high level requirements and designs
• Good understanding of Linux / Unix platform

• Prior experience with Amazon Web Service (AWS)

Your skills and experience should cover:

• 5+ years of experience with developing, deploying, and debugging solutions on the AWS platform using ALL AWS services such as S3, IAM, Lambda, API Gateway, RDS, Cognito, Cloudtrail, CodePipeline, Cloud Formation, Cloudwatch and WAF (Web Application Firewall).

• Amazon Web Services (AWS) Certified Developer: Associate, is required; Amazon Web Services (AWS) DevOps Engineer: Professional, preferred.

• 5+ years of experience using one or more modern programming languages (Python, Node.js).

• Hands-on experience migrating data to the AWS cloud platform

• Experience with Scrum/Agile methodology.

• Good understanding of core AWS services, uses, and basic AWS architecture best practices (including security and scalability)

• Experience with AWS Data Storage Tools.

• Experience in Configure and implement AWS tools such as CloudWatch, CloudTrail and direct system logs for monitoring.

• Experience working with GIT, or similar tools.

• Ability to communicate and represent AWS Recommendations and Standards.

The following areas are highly advantageous:

• Experience with Docker

• Experience with PostgreSQL database