
Urgent Hiring: Data Entry Operator – Excel Expert
Location: kota.
Start Date: Immediate | Type: Full-time
Salary based on skill & speed
What You’ll Do :
1. Data Mining & Research – Find accurate data from different web sources 2. Database Creation – Build clean, organized databases in Excel/Google Sheets from scratch
3.Advanced Excel Work – VLOOKUP, Pivot Tables, Power Query, Data Cleaning, Dashboards, Macros preferred High Accuracy – 35+ WPM typing speed with 99% accuracy. No errors.
4.Daily Reporting – Track, sort, and submit completed data sets on time
You’re a Fit If You Have:
✅ Basic to Advanced MS Excel – Test will be conducted
✅ Proven experience in web research & data mining
✅ Know how to find B2B leads, contacts, company data online
✅ Detail-oriented, self-motivated, can work without supervision
✅ Available to start immediate

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Job Title : AWS Data Engineer
Experience : 4+ Years
Location : Bengaluru (HSR – Hybrid, 3 Days WFO)
Notice Period : Immediate Joiner
💡 Role Overview :
We are looking for a skilled AWS Data Engineer to design, build, and scale modern data platforms. The role involves working with AWS-native services, Python, Spark, and DBT to deliver secure, scalable, and high-performance data solutions in an Agile environment.
🔥 Mandatory Skills :
Python, SQL, Spark, AWS (S3, Glue, EMR, Redshift, Athena, Lambda), DBT, ETL/ELT pipeline development, Airflow/Step Functions, Data Lake (Parquet/ORC/Iceberg), Terraform & CI/CD, Data Governance & Security
🚀 Key Responsibilities :
- Design, build, and optimize ETL/ELT pipelines using Python, DBT, and AWS services
- Develop and manage scalable data lakes on S3 using formats like Parquet, ORC, and Iceberg
- Build end-to-end data solutions using Glue, EMR, Lambda, Redshift, and Athena
- Implement data governance, security, and metadata management using Glue Data Catalog, Lake Formation, IAM, and KMS
- Orchestrate workflows using Airflow, Step Functions, or AWS-native tools
- Ensure reliability and automation via CloudWatch, CloudTrail, CodePipeline, and Terraform
- Collaborate with data analysts and data scientists to deliver actionable insights
- Work in an Agile environment to deliver high-quality data solutions
✅ Mandatory Skills :
- Strong Python (including AWS SDKs), SQL, Spark
- Hands-on experience with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
- Experience with DBT and ETL/ELT pipeline development
- Workflow orchestration using Airflow / Step Functions
- Knowledge of data lake formats (Parquet, ORC, Iceberg)
- Exposure to DevOps practices (Terraform, CI/CD)
- Strong understanding of data governance and security best practices
- Minimum 4–7 years in Data Engineering (3+ years on AWS)
➕ Good to Have :
- Understanding of Data Mesh architecture
- Experience with platforms like Data.World
- Exposure to Hadoop / HDFS ecosystems
🤝 What We’re Looking For :
- Strong problem-solving and analytical skills
- Ability to work in a collaborative, cross-functional environment
- Good communication and stakeholder management skills
- Self-driven and adaptable to fast-paced environments
📝 Interview Process :
- Online Assessment
- Technical Interview
- Fitment Round
- Client Round
Technical Expertise:
- Strong proficiency in OOP concepts, C#, .NET Core, Entity Framework, React, SQL Server, PostgreSQL, Dapper, ADO.NET, LINQ, and Web API Development.
- Experience with event-driven architecture and messaging systems such as Kafka or Rabbit MQ.
- Excellent debugging, troubleshooting, and performance optimization skills.
- Expertise in database development including tables, views, stored procedures, triggers, and functions.
- Hands-on experience with unit testing frameworks (XUnit).
- Proficiency in JWT services, Git, and third-party API integration.
- Experience in code review and mentoring junior developers.
- Preferred Qualification:
- Bachelor’s Degree in Business, Marketing, Communications, or related field.
Position: Python Developer
Location: Andheri East, Mumbai
Work Mode: 5 Days WFO
Availability: Immediate joiners only (or notice period completed)
What We're Looking For:
✅ 2+ years of solid Python development experience
✅ Django framework expertise - must have!
✅ FastAPI framework knowledge - essential!
✅ Database skills in MongoDB OR PostgreSQL
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Mandatory (Skill 2): Strong understanding of brand identity, visual hierarchy, and lead-generation design principles — ability to convert marketing objectives into impactful visuals.
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Why this role?
Help build the future of sales: At Nektar, you will help redefine the way people sell. Across countries and industries. There are few startups with this kind of market potential.
A team with decades of domain expertise: Between them, the founders have nearly two decades of experience founding and growing startups and building and selling SaaS products globally.
Tackle our most impactful problems: Our team is still small, and people wear many hats. You’ll jump between product, design, engineering, devops and growth. You will not be bored.
Join us at a magical time: Founded and headquartered in Singapore, Nektar raised a substantial seed round from great SaaS VCs in less than 4 weeks of starting the company, giving us a massive jump start and room to focus on our product and users.
What do we do?
Nektar’s mission is to help people work smarter. Our first product is an assistant for sales teams that will help close more deals faster.
Sales organizations have spent hundreds of billions of dollars on systems of record to collect vast amounts of data. This data might produce pretty graphs on managers’ reports but it hardly ever helps the salesperson in the field move their deals forward. This is why, in 2019, less than 30% of salespeople used their organization’s CRM as intended, and 57% of the sales teams globally missed their sales quota.
This is where we’re different — we are laser-focused on the specific actions that help salespeople close deals. We’re building a real system of growth, a first of it’s kind to help salespeople become better salespeople by helping our users build productive habits, adopting best practices and eliminating friction from the sales process.
What we’re looking for?
- We’re looking for engineers who can hit the ground running, with at least a year’s experience building production servers using Node.js. Experience with the frontend is positive but not required.
- As an all-remote team, we require great communication skills, particularly in writing. You must be a self-motivated manager of one with the ability to work independently, take ownership and proactively seek help when required. Prior experience working remotely will be positive but is not required.
- As a startup, we prefer generalists over specialists and product-focused engineers who can empathize with users. Experience working at a fast-growing startup would be positive but is not required.
- Experience in sales tech will be a strong positive but is not a must.
How do we work?
We’re an all-remote engineering team from the beginning (yes, since before the pandemic!), and we’ve built a fantastic remote-friendly culture. We support every team member to set up a great personal workspace that fits them — whether that’s a home office, a co-working space or just hanging out at a coffee shop. We are location agnostic and you can literally choose a location that works for you . Our distributed team currently sits in Singapore, India, Vietnam, Australia and Indonesia.
We do weekly team activities, like online gaming and coffee chat to ensure that physical distance doesn’t keep us from being a close-knit team.
Nektar is a small team, and everyone’s involved in shaping the product we build. We’re still iterating and figuring out the product-market fit, so we’re not averse to throwing away code. We’d rather build a few powerful features that solve important needs than lots of features that are not as valuable.
In line with our mission — helping people work smarter — we’re always thinking about how we can work smarter ourselves. We try to avoid large and long meetings and prefer ad-hoc collaboration with one or two other people instead. We invest in continuous integration and deployment, automated testing and other tooling to eliminate friction from our engineering processes. We aim for clear written documentation and communication.
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Responsible for planning, connecting, designing, scheduling, and deploying data warehouse systems. Develops, monitors, and maintains ETL processes, reporting applications, and data warehouse design. |
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Role and Responsibility |
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· Plan, create, coordinate, and deploy data warehouses. · Design end user interface. · Create best practices for data loading and extraction. · Develop data architecture, data modeling, and ETFL mapping solutions within structured data warehouse environment. · Develop reporting applications and data warehouse consistency. · Facilitate requirements gathering using expert listening skills and develop unique simple solutions to meet the immediate and long-term needs of business customers. · Supervise design throughout implementation process. · Design and build cubes while performing custom scripts. · Develop and implement ETL routines according to the DWH design and architecture. · Support the development and validation required through the lifecycle of the DWH and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse. · Monitor the DWH and BI systems performance and integrity provide corrective and preventative maintenance as required. · Manage multiple projects at once. |
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DESIRABLE SKILL SET |
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· Experience with technologies such as MySQL, MongoDB, SQL Server 2008, as well as with newer ones like SSIS and stored procedures · Exceptional experience developing codes, testing for quality assurance, administering RDBMS, and monitoring of database · High proficiency in dimensional modeling techniques and their applications · Strong analytical, consultative, and communication skills; as well as the ability to make good judgment and work with both technical and business personnel · Several years working experience with Tableau, MicroStrategy, Information Builders, and other reporting and analytical tools · Working knowledge of SAS and R code used in data processing and modeling tasks · Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other “big data” technologies such as AWS Redshift or Google Big Data
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1. End to End responsibility of multiple product and features 2. Coordinating with the engineering department (Tech Team) to deliver functional solutions 3. Suggesting product enhancements to improve user experience 4. Performing quality assurance controls on products 5. Conduct research to identify customer needs and market gaps 6. Prioritize the implementation of new features and set specific timelines 7. Liaise with the Marketing department to ensure proper advertisement and positioning of new products 8. Monitor and report on users’ reactions after launching 9. Create support and training documents for internal and external users
Perfect Fit candidate for the above role?
1. Academic background: Engineering Only. Non-Engineers are not eligible to apply for this role. 2. Familiarity with market research, consumers’ behavior and marketing techniques. 3. Candidates who have run their own start-up, worked in a start-up or were co-founder in another startup are preferred although not a necessity. 4. Strong time management skills 5. Good communication skills along with the ability to effectively collaborate with cross functional teams.












