Business Development Manager

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

Apply only to this link - https://loginext.hire.trakstar.com/jobs/fk0q2so?source=" target="_blank">https://loginext.hire.trakstar.com/jobs/fk0q2so?source=

LogiNext is looking for a technically savvy and experienced senior developer to lead development efforts. You will help the team grow in size and skills, optimizing their code while working on your own. You will design, and develop the products that exceed client expectations in terms of value and benefit. You will collaborate on scalability issues involving access to massive amounts of data and information.

You have hands-on experience in building secure, high-performing and scalable systems in Java. Your design intuition inclines towards usability, elegance and simplicity. You are biased towards open-source tools and existing frameworks. You have successfully shipped applications with beautiful front-end and intelligent backend. You have demonstrated strong interpersonal and communication skills.

Responsibilities

Co-lead end-to-end design and development efforts for high-volume, low-latency applications for real-time event based systems Lead and direct senior software engineers, define software architecture, collaborate with other teams to explore existing systems, determine areas of complexity and potential risks to successful implementation of platform modules and features Deliver high-availability and high-performance platform using microservices architecture Identify bottlenecks and inefficiencies in code, and devise solutions to production and non-production issues Keep an eye out for open source projects and technology trends that can be introduced in the products Transform business functionalities and production specifications into technical requirements and low level design Be hands-on, adopt a practical approach to software and technology Work with product management and other teams to build highly scalable products

Requirements

Bachelor’s degree in Computer Science, Information Technology or a related field 8 to 10 years of design and development experience in scalable and distributed enterprise applications using Java/J2EE, JPA, Spring framework and RESTful web services Excellent coding skills in Java Experience in managing, implementing and optimizing big data stores such as MySQL, MongoDB, Elasticsearch Experience in deploying applications and using various managed services provided by cloud platforms (AWS, Azure) Experience in front-end technologies HTML5, CSS3, jQuery, AngularJS, React and D3.js is preferred Strong foundation in computer science, with strong competencies in data structures, algorithms and software design Proven ability to drive large scale projects with deep understanding of Agile SDLC, high collaboration and leadership

Responsibilities:

1. Plan and execute all digital marketing, including SEO/SEM, marketing database, email, social media and display advertising campaigns
2. Design, build and maintain our social media presence
3. Measure and report the performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
4. Identify trends and insights, and optimize spend and performance based on the insights
5. Brainstorm new and creative growth strategies
6. Plan, execute, and measure experiments and conversion tests
7. Collaborate with internal teams to create landing pages and optimize the user experience
8. Utilize the strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touchpoints
9. Instrument conversion points and optimize user funnels
10. Collaborate with agencies and other vendor partners
11. Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate

You will be part of the core engineering team that is working on developing AI/ML models, Algorithms, and Frameworks in the areas of Video Analytics, Business Intelligence, IoT Predictive Analytics. 

For more information visit www.gyrus.ai 

Candidate must have the following qualifications 

- Engineering or Masters degree in CS, EC, EE or related domains

- Proficient in OpenCV

- Profficiency in Python programming 

- Exposure to one of the AI platforms like Tensorflow, Caffe, PyTorch

- Must have trained and deployed at least one fairly big AI model

- Exposure to AI models for Audio/Image/Video Analytics

- Exposure to one of the Cloud Computing platforms AWS/GCP

- Strong mathematical background with special emphasis towards Linear Algebra and Statistics

• 4+ years of experience in web development (PHP 7+ / JS / MySQL / Symfony 4+ / Rabbit MQ /Docker / Redis and other frameworks).
• Good understanding of OOP principles and their use in practice.
• Experience in building CRM systems is a plus.
• Experience with CRM systems would be a plus
• Knowledge and experience with Node.js will be a plus.

Description:

We are looking for an organized, detail-oriented individual to join our team as a software product manager. The responsibilities of the software project manager include overseeing software projects from start to finish, managing and motivating software developers and other team members, giving customer presentations, and writing project proposals.

To be successful as a software project manager, you should have a good working knowledge of project estimation techniques and the ability to motivate team members. Ultimately, a top-notch software Product manager should have good communication and decision-making skills.

Responsibilities:

1.Discussing potential projects and their parameters with clients, executives, and software developers.

2.Planning out the blueprints for software projects, including defining the scope, allocating resources, setting deadlines, laying out communication strategies, and indicating tests and maintenance.

3.Assembling and leading the project team.

4.Participating in and supervising each stage of the project.

5.Ensuring each project stays on schedule and adheres to the deadlines.

6.Creating a project budget and ensuring the project adheres to the budget as closely as possible.

7.Determining and overseeing consistent testing, evaluation, and troubleshooting of all products in all stages of completion.

8.Tracking milestones, deliverables, and change requests.

9.Serving as a liaison to communicate information regarding changes, milestones reached, and other pertinent information.

10.Delivering completed software products to clients and performing regular checks on the products' performance.

11.Software Project Manager Requirements

12.A bachelor's degree in information technology, software development management, software engineering, computer science, or a related field.

13.Proven experience in project management and software development.

14.Good working knowledge of project estimation techniques.

15.Excellent technical knowledge.

16.Good leadership, decision-making, and organization skills.

17.Strong attention to detail and multi-tasking skills.

Qualification:

1. Minimum ten (10) years of total work experience in software development
2. Good technical proficiency with PHP, Laravel, Javascript technologies and its related framework
3. Strong knowledge on AWS
4. Experience in Data collection, management and analysis
5. Experience in MYSQL/Maria DB
6. Knowledge in SaaS architecture