11+ Service delivery management Jobs in Chennai | Service delivery management Job openings in Chennai
Apply to 11+ Service delivery management Jobs in Chennai on CutShort.io. Explore the latest Service delivery management Job opportunities across top companies like Google, Amazon & Adobe.
About the Role:
We are seeking a talented and motivated L2 Software Development Engineer to join our dynamic team. As an L2 engineer, you will be responsible for designing, developing, and maintaining high-quality software solutions while working closely with cross-functional teams. Your role will include troubleshooting complex issues, implementing best practices, and contributing to the architecture and scalability of our systems.
Key Responsibilities:
- Design, develop, test, and maintain software solutions in accordance with business and technical requirements.
- Write clean, efficient, and well-documented code, following industry standards and best practices.
- Collaborate with cross-functional teams including product managers, designers, and other engineers to deliver new features and improvements.
- Troubleshoot and resolve complex software issues across multiple systems and layers of the stack.
- Optimize application performance, scalability, and security.
- Conduct code reviews, mentor junior engineers, and contribute to continuous improvements in development processes.
- Participate in the full software development lifecycle (SDLC), from requirement gathering to deployment and monitoring.
- Stay updated with emerging trends and technologies in software development and actively contribute to process improvements.
- Document technical specifications, architecture, and development processes.
Skills and Qualifications:
- Bachelorās degree in Computer Science, Engineering, or related field.
- 1-2 years of experience in software development, with expertise in one or more programming languages (e.g., Python, Java, C++, JavaScript, etc.).
- Strong knowledge of object-oriented design, algorithms, and data structures.
- Experience with version control systems (e.g., Git) and familiarity with CI/CD pipelines.
- Solid understanding of databases (SQL and/or NoSQL) and API design (RESTful/GraphQL).
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes) is a plus.
- Strong problem-solving skills with the ability to troubleshoot and resolve complex software issues.
- Excellent communication skills, both verbal and written, with the ability to collaborate effectively in a team environment.
- Experience working in an Agile development environment.
Preferred:
- Experience with front-end technologies (React, Angular, or Vue.js) or mobile development is a plus.
- Knowledge of DevOps practices and tools for automation and infrastructure management.
- Familiarity with testing frameworks and best practices in software testing (unit, integration, end-to-end testing).
- Experience working with microservices architecture and distributed systems.
Benefits:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Work-life balance and flexible work arrangements.
- Exposure to cutting-edge technologies and challenging projects.
- A collaborative and inclusive work environment.
Analytics Job Description
We are hiring an AnalyticsĀ EngineerĀ to help drive our Business Intelligence efforts. You will
partner closely with leaders across the organization, working together to understand the how
and why of people, team and company challenges, workflows and culture. The team is
responsible for deliveringĀ dataĀ and insights that drive decision-making, execution, and
investments for our product initiatives.
You will work cross-functionally with product, marketing, sales, engineering, finance, and our
customer-facing teams enabling them withĀ dataĀ and narratives about the customer journey.
Youāll also work closely with otherĀ dataĀ teams, such asĀ dataĀ engineering and product analytics,
to ensure we are creating a strongĀ dataĀ culture at Blend that enables our cross-functional partners
to be moreĀ data-informed.
Role :Ā DataEngineerĀ
Please find below the JD for theĀ DataEngineerĀ Role..
Ā Ā Location: Guindy,Chennai
How youāll contribute:
ā¢ Develop objectives and metrics, ensure priorities areĀ data-driven, and balance short-
term and long-term goals
ā¢ Develop deep analytical insights to inform and influence product roadmaps and
business decisions and help improve the consumer experience
ā¢ Work closely with GTM and supporting operations teams to author and develop core
dataĀ sets that empower analyses
ā¢ Deeply understand the business and proactively spot risks and opportunities
ā¢ Develop dashboards and define metrics that drive key business decisions
ā¢ Build and maintain scalable ETL pipelines via solutions such as Fivetran, Hightouch,
and Workato
ā¢ Design our Analytics and Business Intelligence architecture, assessing and
implementing new technologies that fitting
ā¢ Work with our engineering teams to continually make ourĀ dataĀ pipelines and tooling
more resilient
Who you are:
ā¢ Bachelorās degree or equivalent required from an accredited institution with a
quantitative focus such as Economics, Operations Research, Statistics, Computer Science OR 1-3 Years of Experience as aĀ DataĀ Analyst,Ā DataĀ Engineer,Ā DataĀ Scientist
ā¢ Must have strong SQL andĀ dataĀ modeling skills, with experience applying skills to
thoughtfully createĀ dataĀ models in a warehouse environment.
ā¢ A proven track record of using analysis to drive key decisions and influence change
ā¢ Strong storyteller and ability to communicate effectively with managers and
executives
ā¢ Demonstrated ability to define metrics for product areas, understand the right
questions to ask and push back on stakeholders in the face of ambiguous, complex
problems, and work with diverse teams with different goals
ā¢ A passion for documentation.
ā¢ A solution-oriented growth mindset. Youāll need to be a self-starter and thrive in a
dynamic environment.
ā¢ A bias towards communication and collaboration with business and technical
stakeholders.
ā¢ Quantitative rigor and systems thinking.
ā¢ Prior startup experience is preferred, but not required.
ā¢ Interest or experience in machine learning techniques (such as clustering, decision
tree, and segmentation)
ā¢ Familiarity with a scientific computing language, such as Python, forĀ dataĀ wrangling
and statistical analysis
ā¢ Experience with a SQL focusedĀ dataĀ transformation framework such as dbt
ā¢ Experience with a Business Intelligence Tool such as Mode/Tableau
Mandatory Skillset:
-Very Strong in SQL
-Spark OR pyspark OR Python
-Shell Scripting
Mandatory
Exposure to the Trading and financial investment banking domain
All technical competencies are mandatory, and no relaxations/exceptions can be given.
Technical skills
Cloud computing (IaaS, PaaS, SaaS) -preferably inĀ AWS
Compute/Container/Orchestration technologies (Docker, Kubernetes, ECS, EKS, Lambda/Serverless etc.)
Microservices & multi-tierĀ architectures
DevOps/CI/CD (GIT/Bitbucket, Maven, Gradle, Jenkins, Sonar)Ā GitLab is preferable
JavaĀ (Core & EE, Spring Boot, Spring MVC, Spring Cloud) &Ā Python
RDBMSĀ systems sucah asĀ MySQL , PostgresĀ andĀ NoSQL, Storage Technologies (S3, EBSĀ etc.)
APIĀ ā GraphQL,Ā REST, API Gateway
Integration and events/messaging technologies (Kafka, RabbitmQ, SNS, SQS)
Caching Solutions such asĀ Elasticache/Redis, Hazelcast, EHCache
Observability and monitoring (Dynatrace, Cloud Watch, Grafana, Splunk, Datadog)
Very good understanding onĀ Agile software releasesĀ and hands-on
Experience in project management tools likeĀ JIRA
Educational Qualification
Bachelorās degree in computer science engineering/ECE/EEE, IT or MCA, MSc Computer Science
Manual Tester:
Mandatory Skills:
- Around 3-6 years experience in Manual testing complex applications
- Should be able to follow the defined test plan/strategy and perform test execution and report defects/track to closure
- Should be able to grasp the complex business domain fast and be agile in supporting the Product releases
- Experience using at least one defect management tool ā JIRA, HP ALM, ADO etc.
- Software lifecycle management skills: understand the application development tasks and plan testing
Experience:Ā 3-6 years
Location: Chennai
Requirements:
- 3+ years of experience in Front-end developement using Angular/Angular.js
- Good understanding of Core JavaScript.
- In-depth knowledge of the Angular framework.
- Good command of TypeScript.
- Thorough knowledge of web markup, primarily focusing on HTML language and CSS.
- A degree of experience with RESTful API integration.
šš¼We're Nagarro.
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (19000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
REQUIREMENTS:
- Experience: 4.1-7 years
- Must have Skills: JavaScript ES6, MySQL, RabbitMQ, Redis, Node JS
- Strong technical background with node.js, event loop understanding, unit testing, developing web application & APIs, event & stream, call-back & closures, promise, async/await, accessing file system, Optimization techniques.
- Strong experience in JavaScript, Express.js, GraphQL
- Strong knowledge of REST, microservices, cloud development and design patterns
- Comfortable using modern tools and platforms such as Docker, Jenkins, Gitlab CI, etc.
- Comfortable using agile methodologies.
- Understanding of different components such as web server, storages, integrations
- Should have worked on designing and building server-side solutions (in any technology), build process of node.js, CI/CD process of node.js, multi-tasking (working on multiple things at same time)
- Good knowledge of functional and Object-Oriented Programming
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
- Familiarity with Azure pipeline
- Should have experience in Identifying software application weaknesses and target areas and sketching out ideas for automated software test procedures. Reviewing software bug reports and highlighting problem areas.
- Knowledge of high-quality professional software engineering practices for agile software development cycle, including coding standards, code reviews, source control management, build processes, testing, and deployment.
- Fundamental knowledge of design patterns
- Experience in communicating effectively with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.
- Mentoring the team members to meet the client's needs and holding them accountable for high standards of delivery.
- Being able to understand and relate technology integration scenarios and be able to apply these learnings in complex troubleshooting scenarios.
RESPONSIBILITIES:
- Writing and reviewing great quality code
- Understanding functional requirements thoroughly and analysing the clientās needs in the context of the project.
- Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns, and frameworks to realize it.
- Determining and implementing design methodologies and tool sets
- Enabling application development by coordinating requirements, schedules, and activities.
- Being able to lead/support UAT and production roll outs.
- Creating, understanding, and validating WBS and estimated effort for given module/task, and being able to justify it.
- Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement
- Giving constructive feedback to the team members and setting clear expectations.
- Helping the team in troubleshooting and resolving of complex bugs
- Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.
- Carrying out POCs to make sure that suggested design/technologies meet the requirements.
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 CondƩ 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 Nastās industry-leading journalism.
ā Primary Responsibilities
ā Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
ā Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
ā Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
ā Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
ā Evaluate performance of direct reports and offer career development guidance.
ā Meeting hiring and retention targets of the team & building a high-performance culture
ā Handle escalations from internal stakeholders and manage critical issues to resolution.
ā Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
ā 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.
ā Required Skills
ā 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
ā 4+ years of Agile Software development practices
ā 12+ years of Software Development experience.
ā Excellent Problem Solving and System Design skill
ā Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
ā Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
ā Experience with SOA & Microservice architecture
ā Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
ā Working Knowledge of cloud and devops skills (AWS will be preferred)
ā Strong verbal and written communication skills.
ā Experience in evaluating team member performance and offering career development
guidance.
ā Experience in providing technical coaching to direct reports.
ā Experience in architecting highly scalable products.
ā Experience in collaborating with global stakeholder teams.
ā Experience in working on highly available production systems.
ā Strong knowledge of software release process and release pipeline.
About CondƩ Nast
CONDĆ NAST INDIA (DATA)
Over the years, CondƩ Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. CondƩ 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
CondƩ 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 CondƩ Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are CondƩ Nast, and It Starts Here.
SEO
Execute search engine optimization tactics, including ongoing evaluation of keywords, content, campaign performance tracking, and link building.
Continually evaluate and improve the effectiveness of campaigns through keyword ranking, geo-targeting, conversion rates, search engine referrals, site traffic and backlinks
Hands-on experience in Google Ads, Facebook Ads & Other Native Ads, measure & report performance of all Search Engine Marketing campaigns.
Experience in working with overseas clients.
SEM
Digital Advertising experience in the industry.
Manage the strategy and setup all paid campaigns in Google AdWords, Bing Ads, and others.
Hands-on experience in creating Results driving ads, expand keyword coverage, develop compelling ad copy, implement bid management strategies, Daily monitoring & Ad optimization.
Track, measure and analyze all initiatives to report on SEM ROI.
Should be good at new scaling-up opportunities keyword/search queries, new targeting methods
Qualifications and Skills
Proven experience as SEO & SEM Executive.
In-depth knowledge of the various paid marketing channels and technologies, including paid search (Google AdWords), retargeting, Facebook Ads, Native Ads, etc.
Experience handling paid marketing budgets and forecasting/reporting results
Establish and maintain scalable processes that ensure best practices in campaign and lead management
Excellent understanding of digital marketing concepts and best practices.
Solid understanding of performance marketing, conversion, and online customer acquisition.
Working knowledge of HTML, CSS, and JavaScript development and constraints.
Exp: 3-8 years
Location: PAN INDIA(Post Pandemic)
Skills JAVA and Angular
Location: Chennai- Guindy Industrial Estate
Duration: Full time role
Company: Mobile Programming (https://www.mobileprogramming.com/" target="_blank">https://www.
Client Name: SamsungĀ
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
ļ· Create and maintain optimal data pipeline architecture,
ļ· Assemble large, complex data sets that meet functional / non-functional business requirements.
ļ· Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
ļ· 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.
ļ· Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
ļ· Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
ļ· Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
ļ· Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
ļ· Experience building and optimizing big data ETL pipelines, architectures and data sets.
ļ· Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
ļ· Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
ļ· Strong analytic skills related to working with unstructured datasets.
ļ· Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
ļ· A successful history of manipulating, processing and extracting value from large disconnected
datasets.
ļ· Working knowledge of message queuing, stream processing and highly scalable ābig dataā data
stores.
ļ· Strong project management and organizational skills.
ļ· 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:
ļ· Experience with big data tools: Spark, Kafka, HBase, Hive etc.
ļ· Experience with relational SQL and NoSQL databases
ļ· Experience with AWS cloud services: EC2, EMR, RDS, Redshift
ļ· Experience with stream-processing systems: Storm, Spark-Streaming, etc.
ļ· Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.
Skills: Big Data, AWS, Hive, Spark, Python, SQL