Data Engineer

About the company

NoBroker.com is world's largest C2C marketplace in online real estate. With cumulative 85 lakh

customers, it has grown 10X in last one year. With three rounds of funding of $151 mn, it is

well funded by key US, Indian, Japanese & Korean investors like General Atlantic,Tiger Global

SAIF Partners, KTB ventures and BeeNext. It is headquartered in Bangalore with a team of

4000+

employees.

Role and Responsibility – Sales Executive

• Identifies business opportunities by identifying prospects.

• Sells products by establishing contact and developing relationships with prospects recommending

solutions.

• Outbound calling on data collected through lead generation activities / secondary data

sources. • Daily follow-ups on older leads and work on new leads.

• Maintains quality service by establishing and enforcing organization standards. • Must be

energetic, well-spoken, and eager to close sales deals and generate revenue for the

organization.

About Training- Training will be provided for initial few days for an employee to understand end

to end process.

Employee Value Proposition:

• Employee health insurance of Rs 1 lakh per year. Premium is paid by

the company. • Employees get free lunch and snacks.

• Monthly reward and recognition to outstanding performers.

• Employees get promotion every 6 months basis performance. Outstanding performers

can qualify for promotion every quarter. So an employee can get promoted up to 4

times in a year. Every promotion results in change of designation and increase of

salary .

• Accelerated career growth of employees and one can become UH in another 3 months

time)

• Regular team parties and Annual Day outing for all employees.

● Medical Program implementation On Ground as per scope of work.

● Liasoning with authorities for smooth operations.

● Managing Team deliverables.

● Conduct training and capacity building of local resources.

● Source medical personnel and implementation managers at specific locations where

required.

● Publish daily status updates and reports during the assessment.

● Drive health outcomes as per project specifications.

● Ensure quality of on ground operations and implement as per SOPs

● Escalate related risks and concerns when necessary

● Take responsibility for more than one aspect of business unit performance, e.g. cost

management, customer service levels, Vendor Management

● Take up client relationship management responsibilities.

Our requirements for consultants include 

- Impeccable communication skills, sales background in Ed-tech or education. 

- Availability to join immediately or within 30 days of offer release.

- proof of incentive/salary slips and minimum 3 referrals from past organizations.

 - The role requires working from the office in Gurgaon, with a 6-day workweek and 9 hours daily from 10 am to 7 pm, with only Sunday off.

About 1K

1K is an early-stage start-up building India’s first network of small-format stores (kiranas) for smaller towns through an integrated offline-online immersive experiential model. We have started off with the aggregation of kiranas, developing a franchise network for the delivery of daily necessities. We plan to build on the entrepreneurial spirit and underutilized real estate pockets hiding in India’s smaller towns and fuel Bharat’s growth through them. We are funded by Info Edge Ventures, Falcon Edge, and Kae Capital.

At 1K, our objective is to build technology that serves the needs of our customers with utmost satisfaction. To help us in doing so, we are looking for an experienced product manager to own the full lifecycle of product development from conception through release. An ideal candidate should have a keen eye for gaps in consumer product offerings and the innovative mindset to fill them. You should have experience in guiding cross-functional teams in the successful creation of products that improve consumer experience and grow market share.

You'll be responsible for developing android applications for managing various working aspects of e-commerce, warehousing & supply chain systems while playing a critical role in the design, planning, development, and deployment and help develop best practices for future development.

Responsibilities:

• Developing, releasing, and maintaining native Android Applications and oversee mobile application development efforts
• Deliver across the entire app life cycle, design, build, code review, deploy, test, release to app stores and support
• Working directly with developers and product managers to conceptualize, build, test, and release products
• Carefully evaluate the technical trade-offs of every decision
• Work on bug fixing and improving application performance.
• Good to have experience in designing, implementing, and maintaining complex mobile applications
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency
• Optimizing performance for the apps and keep up to date on the latest industry trends in the mobile technologies
• Solid understanding of UI Design practices

Requirements:

• 3+ years of hands-on experience in writing and deploying production quality code.
• Familiarity with test-driven development (TDD)
• Familiarity with CI/CD
• Great understanding of Android development
• Solid understanding of MVI/MVP/MVVM architecture.
• Expertise in Kotin with solid OOD principles, design patterns, dependency injection (Hilt/Koin/Dagger)
• Good grasp of algorithms, memory management, and multithreaded programming
• Hands-On experience with Android’s debugging, unit/UI ­testing, memory, and performance optimization tools.
• Awesome to have exposure working in startups.
• Great people skills!

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex 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.
• 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.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• 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 experts to strive for greater functionality in our data systems.

• 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 identify 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.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ 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.