Customer support executive

The Sr AWS/Azure/GCP Databricks Data Engineer at Koantek will use comprehensive

modern data engineering techniques and methods with Advanced Analytics to support

business decisions for our clients. Your goal is to support the use of data-driven insights

to help our clients achieve business outcomes and objectives. You can collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources and

patterns, insights, and trends to decision-makers. You will help design and build data

pipelines, data streams, reporting tools, information dashboards, data service APIs, data

generators, and other end-user information portals and insight tools. You will be a critical

part of the data supply chain, ensuring that stakeholders can access and manipulate data

for routine and ad hoc analysis to drive business outcomes using Advanced Analytics. You are expected to function as a productive member of a team, working and

communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers. Requirements:

 Strong experience as an AWS/Azure/GCP Data Engineer and must have

AWS/Azure/GCP Databricks experience.  Expert proficiency in Spark Scala, Python, and spark

 Must have data migration experience from on-prem to cloud

 Hands-on experience in Kinesis to process & analyze Stream Data, Event/IoT Hubs, and Cosmos

 In depth understanding of Azure/AWS/GCP cloud and Data lake and Analytics

solutions on Azure.  Expert level hands-on development Design and Develop applications on Databricks.  Extensive hands-on experience implementing data migration and data processing

using AWS/Azure/GCP services

 In depth understanding of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib

 Hands-on experience with the Technology stack available in the industry for data

management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc

 Hands-on knowledge of data frameworks, data lakes and open-source projects such

asApache Spark, MLflow, and Delta Lake

 Good working knowledge of code versioning tools [such as Git, Bitbucket or SVN]

 Hands-on experience in using Spark SQL with various data sources like JSON, Parquet and Key Value Pair

 Experience preparing data for Data Science and Machine Learning with exposure to- model selection, model lifecycle, hyperparameter tuning, model serving, deep

learning, etc

 Demonstrated experience preparing data, automating and building data pipelines for

AI Use Cases (text, voice, image, IoT data etc. ).  Good to have programming language experience with. NET or Spark/Scala

 Experience in creating tables, partitioning, bucketing, loading and aggregating data

using Spark Scala, Spark SQL/PySpark

 Knowledge of AWS/Azure/GCP DevOps processes like CI/CD as well as Agile tools

and processes including Git, Jenkins, Jira, and Confluence

 Working experience with Visual Studio, PowerShell Scripting, and ARM templates.  Able to build ingestion to ADLS and enable BI layer for Analytics

 Strong understanding of Data Modeling and defining conceptual logical and physical

data models.  Big Data/analytics/information analysis/database management in the cloud

 IoT/event-driven/microservices in the cloud- Experience with private and public cloud

architectures, pros/cons, and migration considerations.  Ability to remain up to date with industry standards and technological advancements

that will enhance data quality and reliability to advance strategic initiatives

 Working knowledge of RESTful APIs, OAuth2 authorization framework and security

best practices for API Gateways

 Guide customers in transforming big data projects, including development and

deployment of big data and AI applications

 Guide customers on Data engineering best practices, provide proof of concept, architect solutions and collaborate when needed

 2+ years of hands-on experience designing and implementing multi-tenant solutions

using AWS/Azure/GCP Databricks for data governance, data pipelines for near real-

time data warehouse, and machine learning solutions.  Over all 5+ years' experience in a software development, data engineering, or data

analytics field using Python, PySpark, Scala, Spark, Java, or equivalent technologies.  hands-on expertise in Apache SparkTM (Scala or Python)

 3+ years of experience working in query tuning, performance tuning, troubleshooting, and debugging Spark and other big data solutions.  Bachelor's or Master's degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience

 Ability to manage competing priorities in a fast-paced environment

 Ability to resolve issues

 Basic experience with or knowledge of agile methodologies

 AWS Certified: Solutions Architect Professional

 Databricks Certified Associate Developer for Apache Spark

 Microsoft Certified: Azure Data Engineer Associate

 GCP Certified: Professional Google Cloud Certified

- Responsible for promoting and selling memberships to potential new clients - Walk-ins/Trials

-Responsible for achieving the target by driving conversion

-Responsible for Upselling

-Should maintain a record of every interaction with new user

-Should enter all details of customers, walk-ins on internal tools

-Managing center experience and incremental enhancements

-Timely Opening and Closing of the center

-Inventory management: Ensure inventory of essentials, supplies and equipment, responsible for

both stocking and re-ordering (first-aid, stationary, water, towels etc.)

-Managing classes and workouts

-Ensuring the punctuality of trainers and classes

-Handle issues with respect to attendance, equipment and space availability

-Customer interactions and troubleshooting

-Interact with walk-ins and prospective clients

-Improving member attendance through meet and greet, familiarity building and creating a

welcoming atmosphere

-Take feedback from members and partners about classes and document the same

-Handle issues that may lead to consumer experience during or pre/post-class

-Center facility audits and inputs

-Ensure that we do daily audits of the center and facility including all supplies and essentials

-After 12 Months of consistent performance, the Consultant shall be eligible for a conversion to Full

Time employment.

Desired Background

-A Bachelor’s degree

-0-2 years of work experience

-Passion for fitness and healthy living

-People management skills

-Good Communication skills (Proficiency in English)

-Customer centrism

-Positive attitude

-Ability to resolve conflict

-Eagerness to learn

How does your work impact the team’s success?

Providing consistent great customer experience creates long-lasting relationships with our users &

members, We're able to #makehealtheasy for these customers at an unprecedented scale.

What is in it for you?

You get an end-to-end view of a business or product. You will play an active role in interacting with

customers, trainers and cluster managers which will provide continuous learning in these areas and

enable you to transition into roles where you can lead one or more of these charters.

Website: https://www.cult.fit/

Linkedin: https://www.linkedin.com/company/cult.fit/

• 4 year degree or equivalent experience
• 8 to 13 years of software development experience 
• Demonstrates broad and deep expertise in any programming languages(Java, GoLang) and open source frameworks (e.g., Spring Boot, Micronut).
• Designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure and microservices.
• Must have exposure to at least one cloud product/platform development.
• Working knowledge of any one client side framework like ReactJS or Angular, etc.
• Should have exposure to one or more databases like Cassandra, MongoDB, Graph, Redis, Elastic Search and Postgres.

• Develop new functionalities on the Company platform, in close collaboration with the Product team
• Analyse and correct anomalies across the various environments
• Propose and participate in the platform evolution
• Contribute to the platform architecture, ensure strong code quality (tests & code reviews) and adherence to best practices
• Mentor and support junior developers