Sr. Business Development Executive- Inside Sales

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

Summary: 

You will play a crucial role in designing, implementing, and optimizing smart contracts and zero-knowledge proof (ZK) circuits using Solidity and Rust programming languages. You will work closely with our development team to build scalable and secure blockchain solutions that leverage zero-knowledge proofs for privacy and scalability enhancements. 

It is an amazing opportunity to work on cutting edge fintech Key 

Responsibilities:

• Design, develop, and deploy smart contracts on Ethereum and other blockchain platforms using Solidity. 
• Implement zero-knowledge proof circuits and protocols in Rust for privacy-preserving and scalable blockchain applications. 
• Collaborate with the research team to explore and implement cutting-edge cryptographic techniques for zero-knowledge proofs. 
• Optimize smart contracts and zero-knowledge proof circuits for performance, scalability, and security. 
• Conduct code reviews and provide constructive feedback to ensure the quality and robustness of the codebase. 
• Stay updated with the latest advancements in blockchain technology, zero-knowledge proofs, and decentralized finance (DeFi). 
• Work closely with cross-functional teams including software engineers, and product managers to deliver high-quality blockchain solutions. 
• Contribute to the development of technical documentation, including specifications, architecture diagrams, and developer guides.

JOB DESCRIPTION: FULL STACK DEVELOPER

About Company: Do you want to work in a fast growing company by doing meaningful work and have fun doing it? Remitbee, a FinTech with headquarters in Canada and office in Chennai is seeking a skilled full stack developer with experience in React and Node JS. Individuals who apply for Remitbee careers should be passionate about tech and driven towards innovating the industry further with the Remitbee team. This position will be based out of Chennai.

This position also comes with the opportunity for career growth and working hour flexibility. We look forward to reading your application. At least 3+ years of experience in backend technologies like Node.js, Express, Sequelize

What will you do?

·      Work in an agile team of developers, QA, DevOps and founders

·      Implement new systems and redesign legacy systems, using leading technologies, to support advancing Research business requirements

·      Research and analyze business and system needs. Explore solution options to recommend designs and technologies

·      Writing test cases

Skills and requirements:

·      At least 3+ years of experience in backend technologies like Node.js, Express, Sequelize

·      Experience in frontend technologies such as React JS, Next JS, Material UI

·      Experience with automated task runners such as Grunt or Gulp

·      Experience in Database like MySQL and/or PostgreSQL

·      Comfortable applying engineering best practices for Test Driven Development, integration testing version control, release management, work estimation and planning

·      Experience to work with Rest and GraphQL APIs

·      You know how to use Git,

·      You are passionate about code quality. Writing tests and documentation belong to your natural workflow.

·      Participate in or lead all parts of the software development lifecycle, including analysis, design, programming, testing, implementation, and support.

·      A history of active contributions to open source projects

Competencies:

·      Strong communication skills

·      Self-Motivated

·      Willingness to learn new tools and technology and work in a collaborative environment

Note: Candidate must worked on more into backend development (NodeJS)

• Graduate degree with a strong academic performance from a top tier university
• You can think in terms of the big picture but deliver on the details
• You have an instinct for great product design and are an advocate for new features with qualitative and quantitative reasoning
• You do whatever it takes to make your product and team successful, whether that means writing a testing plan, analyzing large data sets, or hunting down the root cause of a user’s frustration
• You can turn incomplete, conflicting, or ambiguous inputs into solid action plans
• You communicate with empathy, precision, and clarity
• You are technical enough to ask engineers good questions about architecture and product decisions alike
• Beyond just shipping new products, you obsess about continuous product improvement
• While we generally value attitude over skills, we expect that you’ve spent at least five years in a fast-paced product management role

What you will be doing:

• Grow an efficient, collaborative team of data scientists, data engineers, and BI developers by hiring, coaching, mentoring, and sharing feedback that preserves company culture and values
• Prioritize work for your team, making rational tradeoffs on priorities based on business constraints, ensuring on-time deliverables and high-quality solutions
• Working with our Engineering teams to improve and advance our development practices based on a data-driven and analytical approach
• Collaborate and maintain a high level of interaction and cooperation with technical and non-technical stakeholders across Gelato
• Partner closely with our product team and stakeholders to improve planning and prioritization
• Drive the analytics and data science roadmap in Gelato
• Work in European time zones
• Who you are