(Sr) Data Engineer, Delivery

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive asks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Excel
• Scrapping
• Medium Communication Skill (Spoken and written)
• SaaS industries knowledge
• Add Product
• Check Dodontdo
• Scrapping
• Work on Support Tickets (Resolve customers issue)

About Quadratyx:

We are a product-centric insight & automation services company globally. We help the world’s organizations make better & faster decisions using the power of insight & intelligent automation. We build and operationalize their next-gen strategy, through Big Data, Artificial Intelligence, Machine Learning, Unstructured Data Processing and Advanced Analytics. Quadratyx can boast more extensive experience in data sciences & analytics than most other companies in India.

We firmly believe in Excellence Everywhere.

Job Description

Purpose of the Job/ Role:

• As a Technical Lead, your work is a combination of hands-on contribution, customer engagement and technical team management. Overall, you’ll design, architect, deploy and maintain big data solutions.

Key Requisites:

• Expertise in Data structures and algorithms.

• Technical management across the full life cycle of big data (Hadoop) projects from requirement gathering and analysis to platform selection, design of the architecture and deployment.

• Scaling of cloud-based infrastructure.

• Collaborating with business consultants, data scientists, engineers and developers to develop data solutions.

• Led and mentored a team of data engineers.

• Hands-on experience in test-driven development (TDD).

• Expertise in No SQL like Mongo, Cassandra etc, preferred Mongo and strong knowledge of relational databases.

• Good knowledge of Kafka and Spark Streaming internal architecture.

• Good knowledge of any Application Servers.

• Extensive knowledge of big data platforms like Hadoop; Hortonworks etc.

• Knowledge of data ingestion and integration on cloud services such as AWS; Google Cloud; Azure etc. 

Skills/ Competencies Required

Technical Skills

• Strong expertise (9 or more out of 10) in at least one modern programming language, like Python, or Java.

• Clear end-to-end experience in designing, programming, and implementing large software systems.

• Passion and analytical abilities to solve complex problems Soft Skills.

• Always speaking your mind freely.

• Communicating ideas clearly in talking and writing, integrity to never copy or plagiarize intellectual property of others.

• Exercising discretion and independent judgment where needed in performing duties; not needing micro-management, maintaining high professional standards.

Academic Qualifications & Experience Required

Required Educational Qualification & Relevant Experience

• Bachelor’s or Master’s in Computer Science, Computer Engineering, or related discipline from a well-known institute.

• Minimum 7 - 10 years of work experience as a developer in an IT organization (preferably Analytics / Big Data/ Data Science / AI background.

• 3+ years of Experience majoring in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions.
• Programming skills in Python, knowledge in Statistics.
• Hands-on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, feature selection/reduction, clustering, parameter tuning, etc.). Familiarity with reinforcement learning is highly desirable.
• Experience in the financial domain and familiarity with financial models are highly desirable.
• Experience in image processing and computer vision.
• Experience working with building data pipelines.
• Good understanding of Data preparation, Model planning, Model training, Model validation, Model deployment and performance tuning.
• Should have hands on experience with some of these methods: Regression, Decision Trees,CART, Random Forest, Boosting, Evolutionary Programming, Neural Networks, Support Vector Machines, Ensemble Methods, Association Rules, Principal Component Analysis, Clustering, ArtificiAl Intelligence
• Should have experience in using larger data sets using Postgres Database. 

Job Description: Data Scientist

At Propellor.ai, we derive insights that allow our clients to make scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science, and Business Logic. Combine these and we show our clients a 360-degree view of their business. In this role, the Data Scientist will be expected to work on Procurement problems along with a team-based across the globe.

We are a Remote-First Company.

Read more about us here: https://www.propellor.ai/consulting" target="_blank">https://www.propellor.ai/consulting

What will help you be successful in this role

• Articulate
• High Energy
• Passion to learn
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
• Ability to narrate the story to the business stakeholders
• Generate insights and the ability to turn them into actions and decisions

Skills to work in a challenging, complex project environment

• Need you to be naturally curious and have a passion for understanding consumer behavior
• A high level of motivation, passion, and high sense of ownership
• Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities
• Flexibility to work on multiple projects and deadline-driven fast-paced environment
• Ability to work in ambiguity and manage the chaos

Key Responsibilities

• Analyze data to unlock insights: Ability to identify relevant insights and actions from data.  Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.   
• Bring in experience for AI and ML:  Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
• Exploratory Data Analysis (EDA) and Generate Insights: Analyse internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data and evaluate data points across the enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights. 
• DS and ML Model Identification and Training: Identity, test, and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance, and accuracy as required. Experiment and identify features from datasets that will help influence model outputs.  Determine what models will need to be deployed, data points that need to be fed into models, and aid in the deployment and maintenance of models.

Technical Skills

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work, fast learners and are team players.

• Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, Text Analytics and Computer Vision.
• Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, or similar.
• Strong experience with popular database programming languages including SQL.
• Strong experience in Spark/Pyspark
• Experience in working in Databricks

What are the company benefits you get, when you join us as?

• Permanent Work from Home Opportunity
• Opportunity to work with Business Decision Makers and an internationally based team
• The work environment that offers limitless learning
• A culture void of any bureaucracy, hierarchy
• A culture of being open, direct, and with mutual respect
• A fun, high-caliber team that trusts you and provides the support and mentorship to help you grow
• The opportunity to work on high-impact business problems that are already defining the future of Marketing and improving real lives

To know more about how we work: https://bit.ly/3Oy6WlE" target="_blank">https://bit.ly/3Oy6WlE

Whom will you work with?

You will closely work with other Senior Data Scientists and Data Engineers.

Immediate to 15-day Joiners will be preferred.

Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21^st century human experience – then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter & Gamble and PepsiCo.

We’re looking for an Applied Data Scientist who expects more from their career. It’s a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you’ll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.

What we expect from you 

• Degree in Statistics, Maths, Physics, Economics or similar field
• Programming skills (Python and SQL are a must have)
• Analytical Techniques and Technology
• Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact.
• Logical thinking and problem solving
• Strong communication skills
• Statistical Modelling and experience of applying data science into client problems
• 2 to 5 years of experience required

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not.

Plus, thoughtful perks, like early finish Friday and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Women’s Network, dh Proud, dh Parent’s & Carer’s, dh One and dh Thrive as the living proof. Everyone’s invited.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

   3+ years of experience in deployment, monitoring, tuning, and administration of high concurrency MySQL production databases.

• Solid understanding of writing optimized SQL queries on MySQL databases
• Understanding of AWS, VPC, networking, security groups, IAM, and roles.
• Expertise in scripting in Python or Shell/Powershell
• Must have experience in large scale data migrations
• Excellent communication skills.