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2. Perform data migration and conversion activities.
3. Develop and integrate software applications using suitable development
methodologies and standards, applying standard architectural patterns, taking
into account critical performance characteristics and security measures.
4. Collaborate with Business Analysts, Architects and Senior Developers to
establish the physical application framework (e.g. libraries, modules, execution
environments).
5. Perform end to end automation of ETL process for various datasets that are
being ingested into the big data platform.
Talent Acquisition (Primary Focus)
• Manage end-to-end recruitment for business functions (corporate + operations)
• Understand hiring requirements and align sourcing strategies accordingly
• Source candidates through job portals, LinkedIn, referrals, and vendor channels
• Screen profiles, coordinate interviews, and ensure timely closures
• Drive offer rollout, negotiation, and joining conversion
• Maintain strong pipelines for ongoing and upcoming roles
• Track hiring metrics such as TAT, closures, and conversion ratios
HR Generalist Responsibilities
• Support onboarding and induction processes
• Maintain employee records and documentation
• Assist in employee lifecycle management (confirmation, exits, etc.)
• Handle employee queries and basic HR operations
• Support engagement initiatives and HR activities
Stakeholder Management & Reporting
• Work closely with hiring managers for role alignment and feedback
• Ensure adherence to hiring processes and policies
• Share regular recruitment trackers and reports
KPI (Metrics to evaluate):
• Monthly hiring closures
• Time to hire (TAT)
• Offer-to-join ratio
• Candidate experience
• Early attrition
Who You Are (Must-Haves):
Key Skills Required
• Strong recruitment and sourcing capability
• Ability to work in a target-driven, fast-paced environment
• Good communication and stakeholder management skills
• Basic understanding of HR operations
• Strong coordination and execution skills
Key Responsibilities
- Report Generation & Maintenance: Design, develop, and maintain daily, weekly, and monthly MIS reports and dashboards to track key business metrics.
- Data Automation: Streamline data collection and reporting processes using advanced Excel functions, VBA/Macros, and Power Query to minimize manual effort and human error.
- Data Quality Assurance: Validate, clean, and reconcile large datasets from multiple sources to ensure 100% accuracy and consistency.
- Ad-Hoc Analysis: Respond quickly to high-priority, customized data requests from management and cross-functional teams.
- Trend Analysis: Identify data trends, anomalies, and insights to help management make informed strategic decisions.
Required Skills & Qualifications
Technical Expertise:
- Advanced Excel (Must-Have): Expert-level knowledge of VLOOKUP/XLOOKUP, INDEX/MATCH, Pivot Tables, Power Query, Data Validation, Conditional Formatting, and Array Formulas.
- VBA & Automation: Proficient in writing and debugging VBA macros to automate repetitive tasks.
- Data Visualization: Ability to build clean, intuitive charts, graphs, and dynamic dashboards that tell a story.
- Bonus Skills: Familiarity with SQL, Power BI, or Tableau is a strong plus.
Professional Skills:
- Experience: 2–5 years of experience in an MIS, Data Analyst, or Reporting role.
- Analytical Thinking: Strong problem-solving skills with a knack for spotting patterns and discrepancies in massive datasets.
- Attention to Detail: High precision in data handling; a missing comma or broken formula shouldn't get past you.
- Communication: Ability to translate complex data into clear, concise summaries for non-technical stakeholders.
> Strong knowledge of the Lightning framework
> Experience working with Sales or Service Cloud, Community Cloud, Marketing Cloud
> Experience in REST & SOAP APIs, knowledge of Governor limits involved during Integration
> Working knowledge on continuous integration, working with repositories (e.g. Git)
> Should have the experience to design the data flow and work with any ETL or data loader
Role Description
This is a full-time, on-site role in Chennai for a Senior Content Writer. We are a Software Company & you will be managing All Contents for Digital Marketing for Sciflare, not for our Clients, as a Senior Content Writer you will be responsible for Content for Social Media Marketing, Branding, Web Copies, Blogs, SEO, SEM, Lead Generation, Email Campaigns, and Demand Generation. Expected to possess a passion for writing in Tech, AI, Mobility, Blockchain, User Centric, SaaS and ability to generate exciting and compelling stories.
Skill Set
Research, Competitor Analysis, Tech Trends, Content Strategy, Content Structure & Styles, Expertise in Written English, Ability to come up with Compelling & Engaging Stories.
Responsibilities
- Conducting in-depth research on industry-related topics and writing original plagiarism-free content
- Writing creative captions for promos as well as social media.
- Analysing content marketing metrics and making changes as needed
- Collaborating with other departments to create innovative content ideas and assist the marketing team in developing content for advertising campaigns
- Recommending new content to address gaps in the company's current content
- Measure and improve content programs
- Review and implement process changes to drive operational excellence
- Work with design and web development teams to launch collateral
- Use search engine optimization (SEO) strategies in writing to maximize the online visibility of a website in search results.
- Manage tight turnaround times and contribute to campaign ideas.
- Keep up with the current trends and happenings to use that as an opportunity to create campaigns.
- Creative writing skills, as well as the ability to communicate and collaborate effectively
- Familiarity with digital marketing strategies
- Excellent written and verbal communication skills
- Ability to work independently and meet deadlines
- Experience in the IT/Software industry is a plus
- Bachelor's degree in English, Journalism, Communications, or related field
Life@Sciflare
- An exciting & lively workplace gives you the chance to work in an environment where you may unleash your creativity and inventiveness to the best extent possible.
- Work in a collaborative setting where your cooperative team contributes new perspectives to your objectives and forges strong bonds.
- Growth mindset: You are nurtured through each stage of your professional advancement by learning and unlearning new things.
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Product Sense
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Aesthetic sense/taste in things matches with Nova - design details you like, products you like.
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Love building products, explore new tech products constantly
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Understand the human psyche well
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Can think in terms of systems
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First principles thinking
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Extreme customer empathy - Deeply understand a user's point of view and their problems
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Execution Sense
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Super awesome at communication - You can articulate your thoughts really well
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Good at team work and have leadership abilities
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Engineering and tech team empathy - Understand how products and systems are implemented, even at a very low level
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Are super organized in whatever you do
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Process oriented
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Analytical Sense
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Measure success metrics
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Decide based on data metrics + intuition
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Define the "what" to build for rest of the product team
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Partnering with and lead cross-functional teams like Design, Engineering, Sales, Operations, etc. to set product priorities
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Defining and socializing the roadmap of your product area through deep research and understanding of business goals
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Bringing your solutions to market through ownership of the full product lifecycle: problem identification, solution design, spec, implementation, and validation
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Managing competing priorities with consistency and transparency
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A total of 4-7 years of relevant work experience with B2B SaaS, B2B2C platforms
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Preferably have worked as a software engineer for at least 1-2 years professionally or have academic background in computer science
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Must have worked in a product management role at a tech-first organization with reputable products, for at least 2-3 years
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Have prior experience in understanding and solutioning with APIs
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Have a proven track record leading with complex strategic initiatives, working through technical, operational, legal/policy and business issues. Prior experience in handling client-side projects would be a plus.
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Should be comfortable with data, analytics and decision making based on data. Should be comfortable with using data analytics tools.
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Result oriented- Ability to find solutions to difficult problems quickly and effectively
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Data driven, analytical and fully understand the diverse ways in which our ecosystem of products can be further adopted by our customers
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Process orientation - ability to perform within existing systems and processes, while constantly aiming for process improvement
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Interpersonal skills and ability to influence
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Team Effectiveness - Ability to work in a cross-functional, dynamic environment and support fellow team members in the achievement of their goals
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Multi-tasking - Ability to manage multiple complex projects at various stages of product development simultaneously
-
Execution driven and bias for action mindset
Job Responsibilities
1) Capable of editing with the ability to meet tight deadlines.
2) Edit marketing, promotional video edit, and location-style videos.
Animation and motion graphics creation through After Effects,
3) Edit high-quality short-form and long-form video projects.
4) Work collaboratively with other video content team members and developers to complete department goals.
5) Marketing video, explainer video, and stock-gathering content.
6) Create multiple theme videos down to cohesive marketing pieces with b-roll storytelling.
Basic Qualifications And Skills
1) Bachelor’s degree required
2) Must be proficient with (After Effects, Premiere Pro, Photoshop, Illustrator
3) Archive video projects through various linear editing platforms according to department standards.
Location
DBS Business center, Bengaluru, Karnataka-560052
Culture alert: For TransFunnel, culture plays a major role. We believe in the power of ONE. We know that company culture can make or break your work experience and so we have a team that puts the human connect before anything else. Whether we work from office, home or anywhere -- we keep the connection going with plenty of fun activities. Also, we have a flat hierarchy. Hit apply if you think exploring this role would be work with fun!
- Developing telemetry software to connect Junos devices to the cloud
- Fast prototyping and laying the SW foundation for product solutions
- Moving prototype solutions to a production cloud multitenant SaaS solution
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with partners 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 specialists to strive for greater functionality in our data systems.
Qualification and Desired Experiences
- Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
- 5+ years experiences building data pipelines for data science-driven solutions
- Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
- Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
- Good team worker with excellent interpersonal skills written, verbal and presentation
- Create and maintain optimal data pipeline architecture,
- Assemble large, sophisticated 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.
- Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
- Previous work in a start-up environment
- 3+ years experiences building data pipelines for data science-driven solutions
- Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
- We are looking for a candidate with 9+ 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: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- 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, C++, Scala, etc.
- Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
- Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find 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.
- Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and interpersonal skills.
- Experience supporting and working with multi-functional teams in a multidimensional environment.






