Project Manager

An online discovery platform for premium products and services.

 

Position: Android Engineer

 

What shall be expected of you:

 

Collaborate with cross-functional teams to define, design, and ship new features.

Work with outside data sources and API's.

Work on bug fixing and improving application performance.

Continuously discover, evaluate, and implement new technologies.

Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies

 

You must have:

1-3 years of prior hands-on experience in building high-performance android applications.

Exceptional development skills in Kotlin and Java.

Published at least two original Android apps on the

play store.
Solid understanding of the full mobile development life cycle.

Prior experience in building consumer applications.

 

Would be awesome if you are also good at:

Firebase (Events, notifications, storage)

Integration of attribution tools (Singular/ Appsflyer/ branch)

Integration of customer engagement platforms (Clevertap/ WebEngage/ MoEngage Android Engineer.

An online discovery platform for premium products and services.

We are looking for an enthusiastic product management intern who can turn ideas into reality and lead our product development cycle.

1. Product design and development skills

• Feature prioritization
• User research
• Visual design
• Wireframing Prototyping
• Market research
• Database designing
• User testing.

2. Marketing skills

• Drafting marketing plans
• Growth hacking A/B testing
• Landing page creation(HTML)
• Content creation
• Understanding Google Analytics
• Google Ads.

3. Design skills

• Paper prototyping

• Figma(optional).

1. Define our Product roadmap, planning, prioritization, tracking, and stake-holders dependency management.
2. Work closely with product designers and developers and ensure functional requirements including edge cases are all captured and designs are all approved by all stakeholders.
3. Authoring different test scenarios for user stories and functional testing of the same.

4. Define metrics, objects that are aligned with business goals and measure feature/release specific success.

Spacenos is the fastest-growing start-up which is innovating in the finance, edtech and marketing domain since 2015 and won multiple awards and recognitions from more than 40+ MNCs and Fortune 500 companies. Our Clients are based out of the U.S.A and Australia. We are funded & Supported by Government of Karnataka, Angel Investors and International Grants.

1. Apply for your CV and past work to be reviewed.
2. Receive a telephonic interview or assessment upon filling the final step form.
3. Receive offer letter if selected.

Our hiring process takes less than 24 hours from the time you receive the Final Step form.

Validity: Up to Dec 2023

- Apply soon, the earliest applicant would be preferred over the late applicants.

Responsibilities

• Crafting the performance marketing strategy for the company and managing the overall online marketing calendar around the same
• Managing all online properties of the brand
• Measuring ROI and a set of other KPIs, based on in-depth analysis of standard digital metrics
• Liaising with multiple agencies, as well as internal offline and traditional marketing teams to devise and execute innovative marketing campaigns throughout the year
  
  

Requirements

• 5+ years experience in Digital Marketing with experience in Digital Advertising, Website Management, Lead Generation, and/or Lifecycle Marketing
• Experience with problem-solving and analytical skills including conducting qualitative and quantitative research, analyzing data, data visualization, developing hypotheses, synthesizing insights & recommendations
• Experience with digital and web analytics and data tracking tools (e. g., Google Analytics, ) and SQL
• Website management and technology experience including CMS, HTML, CSS, and Javascript
• Experience leading and managing SEO/SEM, marketing database, email, social media, and/or display advertising campaigns
• Experience using various Facebook Interfaces: Ads Manager, Power Editor, Business Manager, Page Insights
• Experience with ad serving tools and DSPs (e. g., DoubleClick, Adobe Advertising Cloud)
• Experience working both strategically as well as in an executional capacity to build and deploy the campaign
• Experience presenting ideas to several stakeholders at once
• Experience collaborating and coordinating with internal and external cross-functional teams
• Experience with digital marketing and digital measurement latest trends and best practices

Content Marketing, Digital Marketing, Google Ads Words, SEM,SEO, Social Media Marketing

Profile (must have skills and experience) we are looking for
● Statistics - Always makes data-driven decisions using tools from statistics, such as: populations and
sampling, normal distribution and central limit theorem, mean, median, mode, variance, standard
deviation, covariance, correlation, p-value, expected value, conditional probability and Bayes's theorem
● Machine Learning
○ Solid grasp of attention mechanism, transformers, convolutions, optimisers, loss functions,
LSTMs, forget gates, activation functions.
○ Can implement all of these from scratch in pytorch, tensorflow or numpy.
○ Comfortable defining own model architectures, custom layers and loss functions.
● Modelling
○ Comfortable with using all the major ML frameworks (pytorch, tensorflow, sklearn, etc) and NLP
models (not essential). Able to pick the right library and framework for the job.
○ Capable of turning research and papers into operational execution and functionality delivery.

• Advanced knowledge of software and solution architecture
• High-level project management skills
• Ability to solve complex software system issues
• Well experienced with software design and web development
• Proficiency with JAVA, and strong front-end knowledge of HTML5, JSF, Angular, React
• Familiar or working experience with Apache Kafka working, Containers, Docker, Kubernetes
• Professional, precise communication skills
• Deep understanding of 'under the hood' knowledge of frameworks worked on
• Work experience in implementing Unit Tests
• Work experience in applying the best practices of Design, Architecture and Application
• development
• Extensive experience with HTML5, CSS3, XML and JSON
• Thorough understanding of Reactive Programming, RxJS framework, Databases, API,
• Implementing of Caching and RESTful services
• Troubleshooting design and performance flaws and system bottlenecks
• Conducting system performance tests
• Working experience in an Agile team, especially with SCRUM
• Good understanding of DevOps, CI/CD principles and practices to improve Software
  
  Quality & Efficiency
• Following Skills will be an added advantage
• Work experience with Cloud Services like AWS and Azure
• Familiar with common microservices patterns
• Service / API test – to test endpoints as thoroughly as possible
• End to End integration test systemFeb.2021 - Technical Manager Requirement

Behavioral Skill

• Should be a quick learner with a problem-solving mindset
• Attention to detail and follow-through to achieve good quality
• Ability to work effectively in a team
• Excellent written and verbal communication skill

 

AWS Data Engineer:

 

Job Description

• 3+ years of experience in AWS Data Engineering.

• Design and build ETL pipelines & Data lakes to automate ingestion of structured and unstructured data

• Experience working with AWS big data technologies (Redshift, S3, AWS Glue, Kinesis, Athena ,DMS, EMR and Lambda for Serverless ETL)

• Should have knowledge in SQL and NoSQL programming languages.

• Have worked on batch and real time pipelines.

• Excellent programming and debugging skills in Scala or Python & Spark.

• Good Experience in Data Lake formation, Apache spark, python, hands on experience in deploying the models.

• Must have experience in Production migration Process

• Nice to have experience with Power BI visualization tools and connectivity

 

Roles & Responsibilities:

• Design, build and operationalize large scale enterprise data solutions and applications

• Analyze, re-architect and re-platform on premise data warehouses to data platforms on AWS cloud.

• Design and build production data pipelines from ingestion to consumption within AWS big data architecture, using Python, or Scala.

• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.

 

Roles and Responsibilities :

- Strong experience using Java programming languages or DevOps on Google Cloud.

- Strong communication skills.

- Experience in Agile methodologies

- Certification on Professional Google Cloud Data engineer will be an added advantage.

- Experience on Google Cloud Platform.

- Experience on Java or DevOps

Required Key Skills :

- Excellent verbal and written communication and interpersonal skills.

- Ability to work independently and within a team environment.

- Interpersonal skills

- GCP, Cloud, Programming

- Agile

- Java programming language or DevOps experience.

CTC- 4L - 7L

Skills Solid foundation in computer science, with strong competencies in data structures, algorithms and databases. Java, of course! Special attention to kotlin fanatics. The tech stack already includes - dropwizard(java), tensorflow (python), mysql, rabbitmq, android(java), react, angular and nginx. Knack for solving complex and interesting problems. Worked in startup like environment with high levels of ownership and commitment. Of course excellent coding skills! – ability to convert design into code. Thinking TDD is a plus. Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with huge amount of data. Experience with multithreading and concurrency programming. Eagerness to always keep learning latest technologies. Responsibilities Design and build our android applications for patients as well as doctors: Conceptualize, design and develop SDKs - end to end chat platform with support for rich multimedia, futuristic interactions specific to doctor-patient conversation (audio, video, AR and much more), a gamified system which drives behavior changes and our very own healthcare expert-cum-friend chatbot, always assisting doctors and the patients. Collaborate with cross-functional teams to define, design, and ship new features. Unit-test code for robustness, including edge cases, usability, and general reliability. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Write clean, maintainable code while rapidly iterating and shipping. Participate in all phases of development, from design to implementation, unit testing, and release.

candidate will be responsible for all aspects of data acquisition, data transformation, and analytics scheduling and operationalization to drive high-visibility, cross-division outcomes. Expected deliverables will include the development of Big Data ELT jobs using a mix of technologies, stitching together complex and seemingly unrelated data sets for mass consumption, and automating and scaling analytics into the GRAND's Data Lake. Key Responsibilities : - Create a GRAND Data Lake and Warehouse which pools all the data from different regions and stores of GRAND in GCC - Ensure Source Data Quality Measurement, enrichment and reporting of Data Quality - Manage All ETL and Data Model Update Routines - Integrate new data sources into DWH - Manage DWH Cloud (AWS/AZURE/Google) and Infrastructure Skills Needed : - Very strong in SQL. Demonstrated experience with RDBMS, Unix Shell scripting preferred (e.g., SQL, Postgres, Mongo DB etc) - Experience with UNIX and comfortable working with the shell (bash or KRON preferred) - Good understanding of Data warehousing concepts. Big data systems : Hadoop, NoSQL, HBase, HDFS, MapReduce - Aligning with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments. - Working with data delivery teams to set up new Hadoop users. This job includes setting up Linux users, setting up and testing HDFS, Hive, Pig and MapReduce access for the new users. - Cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Cloudera Manager Enterprise, and other tools. - Performance tuning of Hadoop clusters and Hadoop MapReduce routines. - Screen Hadoop cluster job performances and capacity planning - Monitor Hadoop cluster connectivity and security - File system management and monitoring. - HDFS support and maintenance. - Collaborating with application teams to install operating system and - Hadoop updates, patches, version upgrades when required. - Defines, develops, documents and maintains Hive based ETL mappings and scripts

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