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Roles & Responsibilities
Selected engineer's day-to-day responsibilities include:
• Maintaining UNIX user accounts and access managements,
• Good understanding of LDAP vs local IAM management.
• Setting up repositories and maintaining.
• Should be very comfortable with troubleshooting Linux-based systems on issues and failures with good grasp of the Linux command line
• Specialist knowledge in Unix Technologies – RedHat , SUSE Linux & SOLARIS.
• Good hands-on experience in parallel filesystems.
• Good understanding on basic networking technology e.g. TCPIP, ip multipathing, ip aggregation, DNS, DHCP etc.
• Comfortable exploring and testing new Open Source software systems should the need arise to solve particular problems
• Setting up and maintaining SUSE and Red hat Clusters with DRBD, Stonith and Coro sync
• Good knowledge in virtualisation/hypervisor technologies on various operating platforms e.g. VMWare, HPE Service Guard cluster
• Good understanding of the various enterprise technologies e.g. SAN, enterprise backup, enterprise monitoring etc
. • Good knowledge in handling NFS file systems and NFS servers
• Troubleshooting performance issues
• Shell, Power shell and python scripting
• Creating custom image based on the security requirements • Planning and executing security patches periodically
Education, Experience & other requirements
Ø Degree in Computer science, Information technology or any related discipline
Ø Minimum 4 - 5 years of experience into Unix server’s setup, administration, upgrading and support.
Ø Good verbal and written communication and able to manage key stakeholders i.e. project team, security, compliance and IT operations
Ø Strong analytical and troubleshooting skills

Work Mode: Hybrid
Need B.Tech, BE, M.Tech, ME candidates - Mandatory
Must-Have Skills:
● Educational Qualification :- B.Tech, BE, M.Tech, ME in any field.
● Minimum of 3 years of proven experience as a Data Engineer.
● Strong proficiency in Python programming language and SQL.
● Experience in DataBricks and setting up and managing data pipelines, data warehouses/lakes.
● Good comprehension and critical thinking skills.
● Kindly note Salary bracket will vary according to the exp. of the candidate -
- Experience from 4 yrs to 6 yrs - Salary upto 22 LPA
- Experience from 5 yrs to 8 yrs - Salary upto 30 LPA
- Experience more than 8 yrs - Salary upto 40 LPA
Responsibilities
● Develop and execute a comprehensive social media strategy aligned with Rocketlane's overall marketing goals and target audience.
● Manage our LinkedIn, Twitter, and Instagram pages to ensure consistent brand messaging and engagement.
● Create and publish engaging posts, articles, images, and videos that resonate with our target audience.
● Monitor social media trends, industry developments, and competitor activities to identify opportunities for optimization.
● Collaborate cross-functionally with the marketing, design, and product teams to ensure consistent brand messaging and a cohesive online presence.
● Actively engage with followers and respond to comments, messages, and inquiries promptly and professionally.
● Implement strategies to drive lead generation, pipeline growth, and conversion through social media channels.
● Develop and maintain a content calendar to plan and organize posts, campaigns, and initiatives.
● Analyze social media performance using relevant metrics and tools, and provide regular reports with actionable insights to improve engagement and conversion rates.
● Collaborate with the content team to ensure social media content aligns with broader content marketing strategies.
● Create high-quality written content, including blogs, e-books, and other forms of thought leadership materials.
● Contribute to the creation of product marketing content, highlighting Rocketlane's features, benefits, and unique value proposition.
Qualifications
● Bachelor's degree in Literature, Marketing, Communications, Business, or a related field preferred.
● Strong understanding of social media platforms, trends, algorithms, and best practices.
● Excellent written and verbal communication skills, with the ability to craft engaging and persuasive content.
● Ability to work independently, manage multiple projects, and meet deadlines in a fast-paced environment.
● A genuine passion for social media marketing and a willingness to stay updated on industry trends.
Good-to-have
● 1-2 years of work experience as a social media manager or similar role, preferably within a B2B SaaS startup environment.
● Proficiency in social media management tools, analytics platforms, and scheduling software.
● Familiarity with content marketing strategies, SEO principles, and lead generation tactics.
● Basic knowledge of graphic design and video editing tools is a plus. Benefits
● Competitive salary and performance-based incentives.
● Opportunity to contribute to a rapidly growing startup and make a significant impact on its success.
● A collaborative work environment that values creativity and innovation



Responsibilities include:
- Coordinate and clarify the requirements and technical issues (including client interaction)
- Support creation of high and low level design
- Development and maintenance of automation code
- Build reusable Business objects as required
- Review the automation implemented code
- Deploy the code to multiple environments phase wise
- Provides regular status updates to clients and management
- Participates in research/design/implementation of appropriate automation tools
- Develop .net libraries using C# /.Net
- Design and develop SQL scripts – Stored procedures, queries, and functions
- Perform unit testing, support systems integration testing and UAT testing
- Raise ticket and co-ordinate with IT team and CS team
- Analyze, estimate and implement special projects
- Effectively manage multiple priorities / assist with various projects as they arise.
- Accurately track, monitor, and report progress and obstacles
- Travel requirements will be modest, working hours must be flexible to deal with international time zone and key process owners located throughout the world.
Education, Experience, & Required Skills:
- Bachelor degree in Computer Science, Computer Engineering or equivalent is required
- 7+ years of overall IT experience
- 2+ years of overall development experience with leading RPA tool.
- Certified RPA Tool (UiPath, UiPath X, Blue Prism, Automation Anywhere) as developer
- Programming experience in Java, .Net, C, C#, .Net, Python
- Sufficient knowledge of RDBMS like ORACLE / MS SQL Server and SQL tools
- Knowledge in developing & understanding excel macros codes.
- Knowledge in Power BI, Excel Macro, web forms, mobile applications are preferable.
- Knowledge of service oriented architecture is preferable.
- Knowledge in Finance & Accounting domain is preferable.
- Strong written and verbal communication skills
- Excellent organization and communication skills.
- Effectively interact with various levels of management.
- Ability to multitask.

Job Description:
We are seeking a Senior AI Developer to join our dynamic team and lead AI-driven projects. This role requires a blend of advanced technical expertise in AI and machine learning, exceptional problem-solving abilities, and experience in building and deploying scalable AI solutions.
Key Responsibilities:
- Machine Learning & AI: Expertise in ML algorithms, especially for classification, anomaly detection, and predictive analytics.
- Cloud Platforms: Proficiency in Google Cloud Platform (GCP) services, including Cloud Run, BigQuery, and Vertex AI.
- Programming Languages: Advanced knowledge of Python; experience with libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas.
- Data Processing: Skilled in SQL, data transformations, and ETL processes, especially with BigQuery.
- Anomaly Detection: Proven experience in building and deploying anomaly detection models, particularly for network data.
- Network Data Analysis: Familiarity with analyzing network logs, IP traffic, and related data structures.
- DevOps & CI/CD: Experience with CI/CD pipelines for ML model deployment, particularly with tools like Cloud Build.
Requirements

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.

In this role, you will:
As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for:
- Understand business objectives and provide credible challenge to analysis requirements.
- Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases.
- Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy.
- Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results.
- Ensure adherence to data management/ data governance regulations and policies.
- Performing and testing highly complex data analytics for customer remediation.
- Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed.
- Investigate and ensure data integrity from multiple sources.
- Ensure data recommended and used is the best “source of truth”.
- Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources.
- Must have a strong attention to detail and be able to meet high quality standards consistently.
- Other duties as assigned by manager.
- Willing to assist on high priority work outside of regular business hours or weekend as needed.
Essential Qualifications:
- Around 5+ years in similar analytics roles
- Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.
- Preferred programming knowledge SQL/SAS
- Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus.
- Strong experience with data integration, database structures and data warehouses.
- Persuasive written and verbal communication skills.
Desired Qualifications:
- Certifications in Data Science, or BI Reporting tools.
- Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills.
- Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities.
- Ability to research and report on a variety of issues using problem solving skills.
- Ability to act with integrity and a high level of professionalism with all levels of team members and management.
- Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment.
- Ability to learn the business aspects quickly, multitask and prioritize between projects.
- Exhibits appropriate sense of urgency in managing responsibilities.
- Ability to accurately process high volumes of work within established deadlines.
- Available to flex schedule periodically based on business need.
- Demonstrate strong negotiation, communication & presentation skills.
- Demonstrates a high degree of reliability, integrity and trustworthiness.
- Takes ownership of assignments and helps drive assignments of the team.
- Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player.
- Be proactive and get engaged in organizational initiatives.

Experience: 2-8 years
Skills:
* Hands-on experience in designing UI frameworks for large scale projects using ReactJS
* experience in UI development using ReactJS Redux, HTML5, JS, CSS
* Experience in UI/UX work flows.
* Experience in Rest APIs integration.
* Experience in responsive and adaptive web designs using media queries, bootstrap and other frameworks & grid systems.
* Experience in Git, Dockers
* Experience in SSO implementation using OAuth2 & JWT tokens

4 - 8 overall experience.
- 1-2 years’ experience in Azure Data Factory - schedule Jobs in Flows and ADF Pipelines, Performance Tuning, Error logging etc..
- 1+ years of experience with Power BI - designing and developing reports, dashboards, metrics and visualizations in Powe BI.
- (Required) Participate in video conferencing calls - daily stand-up meetings and all day working with team members on cloud migration planning, development, and support.
- Proficiency in relational database concepts & design using star, Azure Datawarehouse, and data vault.
- Requires 2-3 years of experience with SQL scripting (merge, joins, and stored procedures) and best practices.
- Knowledge on deploying and run SSIS packages in Azure.
- Knowledge of Azure Data Bricks.
- Ability to write and execute complex SQL queries and stored procedures.