HR Generalist

Who are we?

We are incubators of high-quality, dedicated software engineering teams for our clients. We work with product organizations to help them scale or modernize their legacy technology solutions. We work with startups to help them operationalize their idea efficiently. Incubyte strives to find people who are passionate about coding, learning, and growing along with us. We work with a limited number of clients at a time on dedicated, long term commitments with an aim of bringing a product mindset into services.

What we are looking for

We’re looking to hire software craftspeople. People who are proud of the way they work and the code they write. People who believe in and are evangelists of extreme programming principles. High quality, motivated and passionate people who make great teams. We heavily believe in being a DevOps organization, where developers own the entire release cycle and thus get to work not only on programming languages but also on infrastructure technologies in the cloud.

What you’ll be doing

First, you will be writing tests. You’ll be writing self-explanatory, clean code. Your code will produce the same, predictable results, over and over again. You’ll be making frequent, small releases. You’ll be working in pairs. You’ll be doing peer code reviews.

You will work in a product team. Building products and rapidly rolling out new features and fixes.

You will be responsible for all aspects of development – from understanding requirements, writing stories, analyzing the technical approach to writing test cases, development, deployment, and fixes. You will own the entire stack from the front end to the back end to the infrastructure and DevOps pipelines. And, most importantly, you’ll be making a pledge that you’ll never stop learning!

Skills you need in order to succeed in this role

Most Important: Integrity of character, diligence and the commitment to do your best

Must Have: SQL, Databricks, (Scala / Pyspark), Azure Data Factory, Test Driven Development

Nice to Have: SSIS, Power BI, Kafka, Data Modeling, Data Warehousing

Self-Learner: You must be extremely hands-on and obsessive about delivering clean code

• Sense of Ownership: Do whatever it takes to meet development timelines
• Experience in creating end to end data pipeline
• Experience in Azure Data Factory (ADF) creating multiple pipelines and activities using Azure for full and incremental data loads into Azure Data Lake Store and Azure SQL DW
• Working experience in Databricks
• Strong in BI/DW/Datalake Architecture, design and ETL
• Strong in Requirement Analysis, Data Analysis, Data Modeling capabilities
• Experience in object-oriented programming, data structures, algorithms and software engineering
• Experience working in Agile and Extreme Programming methodologies in a continuous deployment environment.
• Interest in mastering technologies like, relational DBMS, TDD, CI tools like Azure devops, complexity analysis and performance
• Working knowledge of server configuration / deployment
• Experience using source control and bug tracking systems,

   writing user stories and technical documentation

• Strong in Requirement Analysis, Data Analysis, Data Modeling capabilities
• Expertise in creating tables, procedures, functions, triggers, indexes, views, joins and optimization of complex
• Experience with database versioning, backups, restores and
• Expertise in data security and
• Ability to perform database performance tuning queries

There is a Job Opportunity for a Software Engineer in Canada, Australia,

We have multiple openings for Software Engineer Profiles.

Job Description:- A Software Engineer is an IT professional who designs, develops, and maintains computer software at a company. They use their creativity and technical skills and apply the principles of software engineering to help solve new and ongoing problems for an organization. Search for jobs.

Software Engineer Responsibilities:

• Developing and directing software system validation and testing methods.
• Directing our software programming initiatives
• Overseeing the development of documentation.
• Working closely with clients and cross-functional departments to communicate project statuses and proposals.
• Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems.

Software Engineer Requirements:

• A bachelor's degree in computer science, software engineering, or another related field.
• 2 to 4 years of software engineering or software development experience, preferably in a related field.
• Hands-on programming experience using relevant languages.
• Experience using relevant tool suites.
• Creative problem-solving skills.
• Experience working with clients and business partners.

Facilities: Free food accommodation, allowances, and medical facilities.

Key Responsibilities:

Purchase Order Processing:

Prepare and review purchase orders from various departments or individuals within the organization.

Verify the accuracy and completeness of purchase orders, ensuring they are properly authorized and comply with company policies.

Enter purchase order details into the accounting system (Tally Prime)

Invoice Verification and Processing:

Gather invoices and match them with corresponding purchase orders and delivery receipts.

Verify the accuracy of invoices, including quantities, prices, and applicable taxes.

Resolve discrepancies or issues with invoices by communicating with vendors, procurement, and other internal stakeholders.

Coordinate with vendors to resolve any payment-related inquiries or issues.

Engage in Warehousing activities related to invoices and inventory.

Vendor Relationship Management:

Develop and maintain positive relationships with vendors, responding to inquiries and resolving any issues promptly.

Ensure vendor accounts are accurately maintained in the accounting system, including contact information and payment terms.

Communicate payment schedules to vendors and provide remittance advice as required.

Reporting and Reconciliation:

Prepare periodic reports related to accounts payable, such as the outstanding creditor's reports, vendor ageing payables, and vendor statements.

Reconcile vendor statements with accounts payable records, investigating and resolving any discrepancies.

Graas uses predictive AI to turbo-charge growth for eCommerce businesses. We are “Growth-as-a-Service”. Graas is a technology solution provider using predictive AI to turbo-charge growth for eCommerce businesses. Graas integrates traditional data silos and applies a machine-learning AI engine, acting as an in-house data scientist to predict trends and give real-time insights and actionable recommendations for brands. The platform can also turn insights into action by seamlessly executing these recommendations across marketplace store fronts, brand.coms, social and conversational commerce, performance marketing, inventory management, warehousing, and last mile logistics - all of which impacts a brand’s bottom line, driving profitable growth.

Roles & Responsibilities:

Work on implementation of real-time and batch data pipelines for disparate data sources.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
• Build and maintain an analytics layer that utilizes the underlying data to generate dashboards and provide actionable insights.
• Identify improvement areas in the current data system and implement optimizations.
• Work on specific areas of data governance including metadata management and data quality management.
• Participate in discussions with Product Management and Business stakeholders to understand functional requirements and interact with other cross-functional teams as needed to develop, test, and release features.
• Develop Proof-of-Concepts to validate new technology solutions or advancements.
• Work in an Agile Scrum team and help with planning, scoping and creation of technical solutions for the new product capabilities, through to continuous delivery to production.
• Work on building intelligent systems using various AI/ML algorithms. 

Desired Experience/Skill:

• Must have worked on Analytics Applications involving Data Lakes, Data Warehouses and Reporting Implementations.
• Experience with private and public cloud architectures with pros/cons.
• Ability to write robust code in Python and SQL for data processing. Experience in libraries such as Pandas is a must; knowledge of one of the frameworks such as Django or Flask is a plus.
• Experience in implementing data processing pipelines using AWS services: Kinesis, Lambda, Redshift/Snowflake, RDS.
• Knowledge of Kafka, Redis is preferred
• Experience on design and implementation of real-time and batch pipelines. Knowledge of Airflow is preferred.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

About the role:

What we are looking for? 

• Strong proficiency in MySQL database administration, migrations /up-gradation, patching, cloning, capacity planning, designing and automation of database tasks.
• Good experience with latest versions of the database
• In-depth experience configuring database replication on multiple versions
• Strong experience in Monitoring, DB Performance Tuning, DB Availability, DR, Security, Storage
• Analyzes and provides recommendations to optimize database for improved performance, manageability and scalability
• Expertise in enterprise backups, recovery and performing point in-time recovery Experience in deploying and integrating PMM tools
• Experience in data partitioning and encryption
• Knowledge of de-facto standards and best practices in MySQL and MongoDB
• Proficient in writing and optimizing SQL statements and Knowledge of MySQL features, such as its event scheduler
• Familiarity with other SQL/NoSQL databases such as PostgreSQL, MongoDB, etc.
• Knowledge of limitations in MySQL and their workarounds in contrast to other popular relational databases
• Proficient understanding of code versioning tools such as Git / Mercurial / SVN

EmReach is one of the leading companies in Critical Event Management and Mass Notification solutions. We are hiring a talented QA Testing Analyst professional to join our team. If you're excited to be part of a winning team, EmReach is a great place to grow your career.

This is a Test Analyst role for System, System Integration or End-to-End testing for projects that require changes to one or several systems.

• Participate in project Test requirement analysis
• Under minimal supervision, creates Test ware –scenarios, cases, data, automated test scripts, assist in estimates creation.
• Executes Tests and collates evidence
• Defect reporting and tracking.
• Demonstrate implementation of process, strategy and/or testing improvement/efficiencies.

• Functional & Technical expertise role in developing & identifying tools that will optimise and improve the quality of testing
• Assist to impact analysis, test estimations, test planning for project
• Create test scripts (manual/automated) & test data based on test model (test scope) defined by test architect
• Understand the Functional requirements, Systems Architecture, Test Environments landscape and share your understanding within the team
• Set up and Execute tests using both automation tools and manual methods as applicable aligning to overall test strategy defined.
• Should have knowledge on Automation with at least one automation framework
• Raise defects, provide sufficient details and logs readily for further analysis and work with development teams to close the defects with appropriate root cause analysis documented.
• Use Test Automation tools as per Automation Approach defined by the Programme/Portfolio leads, come up with own ideas to innovate and automate all testing activities applicable to support the Automation and Continuous Improvement journey.
• Escalate any issues to Test Manager/Portfolio Test Lead as appropriate and in timely manner and provide options to resolve the issues

Mumbai

• Graduate with software engineering background
• Hands on Experience in Agile methodology.
• 2-4 years of experience in software testing.
• Domain/Testing/Technical certification will be an advantage

• Understanding of Cloud Technologies like Aws, Azure would be an added advantage
• Knowledge on micro services would be an added advantage.
• Knowledge on DEVOPS tools and process would be an added advantage.
• Should be able to handle work assigned/issues with minimal supervision.

• Write a significant amount of code for new and existing databases and related systems
• Scale and own these backend systems and databases
• Ship high-quality code and architecture
• Mentor engineers on the team, developing their skills and helping advance their careers
• Work with the founders to flesh out the future of the product
• Help shape the future of our engineering organization

Requirements

• A passion for working on deeply technical projects and wanting to work on distributed systems, concurrency & parallelism, replication protocols, file systems & correctness
• You have been building applications for 5+ years with C/C++ or Rust and have significant backend, database, or systems-level programming experience
• You have a BS/MS/Ph.D. in a scientific field or equivalent experience
• You want to work in a fast-paced, high-growth startup environment that respects its engineers and customers
• You are comfortable working with a 100% distributed engineering team, collaborating on GitHub, Slack, Zoom, etc. in the open and as a self-starter

Bonus points:

• Experience working on databases or other storage systems internals
• Experience with Apache Arrow, Apache Parquet
• Know how columnar databases work
• Know how to convert an algorithm to use SIMD instructions
• Good knowledge of Linux internals
• You’ve contributed to open-source libraries and actively participate in the development community (blogging, giving talks, meetups, tweeting, etc.)

• Spend most of your time developing brand new software in Python
• Build out a secure data replication infrastructure to replicate transactional data across a hierarchical system
• Build out APIs for supporting a fleet of 20k devices
• Build out a configurable data analytics and reporting framework
• Build out real time dashboards for getting a high level and deep dive view of the overall system
• Be responsible for independently designing and building out modules of the overall system
• Work with a team of smart peers and take ownership of the resulting system
• Push yourselves, create impact, learn and grow as an engineer