PySpark/Scala Developer

Role - Sr. QA Engineer

Location- Gurgaon

Mode - Hybrid

Experience - 6 Years

Notice Period:- Immediate Joiner

Must-Have:

- Experience in QA automation/platform QA

- Experience in Playwright, Selenium, Rest Assured

- Strong in API & load testing (JMeter, k6)

- GCP or Azure experience

- CI/CD: GitHub Actions, Jenkins

- Drive test automation, CI/CD quality gates, chaos testing & more.

Technologies & Languages

• Azure
  • Databricks
  • SQL Sever
  • ADF
• Snowflake
  • Data Cleaning
  • ETL
• Azure Devops
• Intermediate Python/Pyspark
• Intermediate SQL
• Beginners' knowledge/willingness to learn Spotfire
• Data Ingestion
• Familiarity with CI/CD or Agile

Must have:

• Azure – VM, Data Lake, Data Bricks, Data Factory, Azure DevOps
• Python/Spark (PySpark) 
• SQL

Good to have:

• Docker
• Kubernetes
• Scala

He/she should have a good understanding in:

• How to build pipelines – ETL and Injection
• Data Warehousing
• Monitoring

Responsibilities:

Must be able to write quality code and build secure, highly available systems.

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 with the guidance.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Monitoring performance and advising any necessary infrastructure changes.

Defining data retention policies.

Implementing the ETL process and optimal data pipeline architecture

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Create design documents that describe the functionality, capacity, architecture, and process.

Develop, test, and implement data solutions based on finalized design documents.

Work with data and analytics experts to strive for greater functionality in our data systems.

Proactively identify potential production issues and recommend and implement solutions

• Owning Fintech Fraud Risk products across account opening and account and activity monitoring
• Defining OKRs for success such as % approvals, bp in losses, good customer friction, precision/ recall etc.
• Thinking out of the box and identifying opportunities where we can build world class Fraud Risk solutions either in-house or via partnerships
• Working with Engineering to create risk capabilities, analytics and decisioning logic to identify, analyze and prevent suspicious activities, including but not limited to: Identity Fraud, Account Takeover/ Abuse Fraud, Transactions Risk, Unauthorized Chargeback Risk etc.
• Driving Proof of Concepts and Demos to illustrate the company's capabilities
• Working with Sales, Business Operations and Engineering to meet internal and external stakeholder needs
• Researching emerging issues impacting Fintech players and ideating on solving their digital risks through innovation
• Validating supply partnerships to be used in solutioning, where needed
• Collaborating with external partners and clients and standardizing integration strategy for the company's input/ output and client feedback loops

Desired Candidate Profile

• 5-7 years of experience in Product Management, preferably in Financial Fraud Risk
• Career concentration in Fintechs, Payments or Risk Service Providers
• Experience in developing requirements for Risk score-based rules engines, Classification and Regression models etc.
• Bachelor’s degree or higher, preferably in Maths, Statistics or an area of Technology
• Strong quantitative abilities, distinctive problem-solving and excellent analytics skills
• Strong organizational, communication, presentation and project management skills
• Experience with analytical/ statistical tools like SQL, SAS, Altair Knowledge Studio, R or Python preferable
• Experience in experimentation and A/B testing a plus
• Strong sense of product design and customer empathy    

Designation

• Digital Marketing Manager

• Performance Marketing Manager

1. Paid Marketing Manager
2. Digital Lead
3. Lead- Digital Marketing
4. Online Marketing Manager 
5. Digital Marketing Analyst/Senior Digital Marketing Analyst
6. Digital Success Manager

About the Role:

We're looking for a growth-oriented leader to own and lead the Digital Marketing function at Impact Guru. You are the ideal candidate if you are comfortable with continuous experimenting and learning and are obsessed with data. You're not afraid to try new methodology and can deliver useful insights by effectively and quickly adapting to data.

Reports to: VP - Markeing

Responsibilities:

• Own end-to-end execution, measurement, reporting, and optimization of campaigns across channels with goals to increase New users Acquisition, Scale GMV across the campaign, and deliver platform GMV & ROAS
• Managing two verticals of Impact Guru business, one is online donation(E-commerce) & Lead Generation(Seekers).
• Lead a team of performance marketers & Data Analyst
• Partner with internal teams to optimize campaign performance (targeting, optimization, creative direction, etc.)
• On a day-to-day basis, you will be expected to optimize campaigns based on data breakdowns and insights.
• Understand ways to scale campaigns across platforms in an optimal manner.
• Perform interest research in Facebook using audience insights and ads manager.
• Create a digital media plan based on requirements across multiple platforms
• Understand how content works across different social media platforms
• Create insightful reports based on data from performance marketing campaigns
• Tag with your copy and art partners to achieve a digital-first creative output on campaigns.
• Work on Launching & Optimising other marketing channels like Taboola, Criteo, Outbrain, Adroll etc.
• Work on retentiton marketing through Mo engage or internal communication.
• Coordination with SEO Team for Organic ranking updates & suggestions
• Assist Social media team in scaling the organic GMV from social pages, also assist them in increasing the followers on each social media pages
• Work on launching influencer marketing campaigns & influencer network for the brand.

Skills Required:

• 3-4 years of industry experience (agency or editorial) is a plus.
• Bachelor’s degree in Engineering, Media Communications, Business Administration, Journalism, English, or related Fields from Tier 1/Tier 2 colleges.
• In-depth knowledge of Google Adwords, Facebook Ads & Google Analytics.
• Excellent problem solving & analytical skills.
• Strong quantitative skills with a knack for translating numbers into actionable insights and creatives.
• Ability to multitask in a fast-paced work environment.
• Punctual and dedicated to meeting goals & deadlines.
• Able to effectively work independently, and as part of a team.

Min. 3-4 year experience is required in this role.

THIS JOB IS NOT FOR FRESHERS! SEPARATE POSTINGS SHALL BE MADE FOR THE SAME

Questionnaire forhttps://docs.google.com/document/d/1_DrazG6jU-PYRRIbBJ7VhKXUrx-Qr8nLLtBRrxjwRM8/edit" target="_blank"> DM Hiring

Job description

Greetings from Abservetech Pvt ltd

We are looking for the candidate with experience in Android Development. The interview process is going on, Get Hired and work with us.

Required Skills

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications
• Understanding of Google’s Android design principles and interface guidelines
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces, such as “touch”
• Familiarity with the use of additional sensors, such as gyroscopes and accelerometers
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Familiarity with continuous integration
• The developer should know how to use the graphics and code in a optimized way to consume very reasonable volume of device memory

Responsibilities

• The developer should learn the defensive programming methodology to develop any apps.
• Make sure you will meet the deadlines and your delivery should meet the expected quality defined as per our process.
• Work with project managers closely to ensure the development process per the scheduled plan.

Qualification: Graduates or Post Graduates from any stream are qualified for this post.

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
• Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
• Career Progression: Senior ML Engineer, ML Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Advanced Machine Learning: TensorFlow, Keras
• Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
• Experience with OOPs and design patterns
• Exposure to RDBMS/NoSQL
• Test Driven Development Methodology

Good to Have

• Working in cloud-native environments (preferably Azure)
• Microservices
• Enterprise Design Patterns
• Microservices Architecture
• Distributed Systems