Data Engineer

• Deliver full-cycle Tableau development projects, from business needs assessment and data discovery, through solution design, to delivery to client.

• Enable our clients and ourselves to answer questions and develop data-driven insights through Tableau.

• Provide technical leadership and support across all aspects of Tableau development and use, from data specification development, through DataMart development, to supporting end-user dashboards and reports.

• Administrate Tableau Server by creating sites, add/remove users, and provide the appropriate level access for users.

• Strategize and ideate the solution design. Develop UI mock-ups, storyboards, flow diagrams, conceptual diagrams, wireframes, visual mockups, and interactive prototypes.

• Develop best practices guidelines for Tableau data processing and visualization. Use these best practices to quickly deliver functionality across the client base and internal users.

• Degree in a highly-relevant analytical or technical field, such as statistics, data science, or business analytics.

· 5+ years as a Tableau developer and administrator.

· Extensive experience with large data sets, statistical analyses, and visualization as well as hands-on experience on tools (SQL, Tableau, Power BI).

· Ability to quickly learn and take responsibility to deliver.

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

What we are looking for:

●       3+ years’ experience developing Big Data & Analytic solutions

●       Experience building data lake solutions leveraging Google Data Products (e.g. Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.), Hive, Spark

●       Experience with relational SQL/No SQL

●       Experience with Spark (Scala/Python/Java) and Kafka

●       Work experience with using Databricks (Data Engineering and Delta Lake components)

●       Experience with source control tools such as GitHub and related dev process

●       Experience with workflow scheduling tools such as Airflow

●       In-depth knowledge of any scalable cloud vendor(GCP preferred)

●       Has a passion for data solutions

●       Strong understanding of data structures and algorithms

●       Strong understanding of solution and technical design

●       Has a strong problem solving and analytical mindset

●       Experience working with Agile Teams.

●       Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders

●       Able to quickly pick up new programming languages, technologies, and frameworks

●       Bachelor’s Degree in computer science

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers!

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

This is the first senior person we are bringing for this role. This person will start with the training program but will go on to build a team and eventually also be responsible for the entire training program + Bootcamp.

We are looking for someone fairly senior and has experience in data + tech. At some level, we have all the technical expertise to teach you the data stack as needed. So it's not super important you know all the tools. However, having basic knowledge of the stack requirement. The training program covers 2 parts - Technology (our stack) and Process (How we work with clients). Both of which are super important.

• Full-time flexible working schedule and own end-to-end training
• Self-starter - who can communicate effectively and proactively
• Function effectively with minimal supervision.
• You can train and mentor potential 5x engineers on Data Engineering skillsets
• You can spend time on self-learning and teaching for new technology when needed
• You are an extremely proactive communicator, who understands the challenges of remote/virtual classroom training and the need to over-communicate to offset those challenges.
  
  

Requirements

• Proven experience as a corporate trainer or have passion for Teaching/ Providing Training
• Expertise in Data Engineering Space and have good experience in Data Collection, Data
• Ingestion, Data Modeling, Data Transformation, and Data Visualization technologies and techniques
• Experience Training working professionals on in-demand skills like Snowflake, debt, Fivetran, google data studio, etc.
• Training/Implementation Experience using Fivetran, DBT Cloud, Heap, Segment, Airflow, Snowflake is a big plus

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.

About the Role: 

Punchh Tech India Pvt. is looking for a Senior Data Analyst – Business Insights to join our team. If you're excited to be part of a winning team, Punchh is a great place to grow your career.

This position is responsible for discovering the important trends among the complex data generated on Punchh platform, that have high business impact (influencing product features and roadmap). Creating hypotheses around these trends, validate them with statistical significance and make recommendations

Reporting to: Director, Analytics

Job Location: Jaipur

Experience Required: 4-6 years

What You’ll Do

• Take ownership of custom data analysis projects/requests and work closely with end users (both internal and external clients) to deliver the results
• Identify successful implementation/utilization of product features and contribute to the best-practices playbook for client facing teams (Customer Success)
• Strive towards building mini business intelligence products that add value to the client base
• Represent the company’s expertise in advanced analytics in a variety of media outlets such as client interactions, conferences, blogs, and interviews.

What You’ll Need

• Masters in business/behavioral economics/statistics with a strong interest in marketing technology
• Proven track record of at least 5 years uncovering business insights, especially related to Behavioral Economics and adding value to businesses
• Proficient in using the proper statistical and econometric approaches to establish the presence and strength of trends in data. Strong statistical knowledge is mandatory.
• Extensive prior exposure in causal inference studies, based on both longitudinal and latitudinal data.
• Excellent experience using Python (or R) to analyze data from extremely large or complex data sets
• Exceptional data querying skills (Snowflake/Redshift, Spark, Presto/Athena, to name a few)
• Ability to effectively articulate complex ideas in simple and effective presentations to diverse groups of stakeholders.
• Experience working with a visualization tool (preferably, but not restricted to Tableau)
• Domain expertise: extensive exposure to retail business, restaurant business or worked on loyalty programs and promotion/campaign effectiveness
• Should be self-organized and be able to proactively identify problems and propose solutions
• Gels well within and across teams, work with stakeholders from various functions such as Product, Customer Success, Implementations among others
• As the stakeholders on business side are based out of US, should be flexible to schedule meetings convenient to the West Coast timings
• Effective in working autonomously to get things done and taking the initiatives to anticipate needs of executive leadership
• Able and willing to relocate to Jaipur post pandemic.

Benefits:

• Medical Coverage, to keep you and your family healthy.
• Compensation that stacks up with other tech companies in your area.
• Paid vacation days and holidays to rest and relax.
• Healthy lunch provided daily to fuel you through your work.
• Opportunities for career growth and training support, including fun team building events.
• Flexibility and a comfortable work environment for you to feel your best.

To be considered as a candidate for a Senior Data Engineer position, a person must have a proven track record of architecting data solutions on current and advanced technical platforms. They must have leadership abilities to lead a team providing data centric solutions with best practices and modern technologies in mind. They look to build collaborative relationships across all levels of the business and the IT organization. They possess analytic and problem-solving skills and have the ability to research and provide appropriate guidance for synthesizing complex information and extract business value. Have the intellectual curiosity and ability to deliver solutions with creativity and quality. Effectively work with business and customers to obtain business value for the requested work. Able to communicate technical results to both technical and non-technical users using effective story telling techniques and visualizations. Demonstrated ability to perform high quality work with innovation both independently and collaboratively.