

Job description
- · Experience in Mobile App Testing - Android and IOS
- · Possess good exposure on Functional, Integration, Installation, Upgrade, Compatibility, GUI, Smoke, Accessibility, Ad hoc, and Regression testing. And also well versed with Persona-based testing.
- · Familiarity with NoSQL databases such as MongoDB for Database Testing
- · Experience in testing API's using Postman
- · Should have used tools like Xcode, Android Studio.
- · Own communication throughout the sprint/release cycle, quality and delivery of the entire feature.
- · Performance testing and benchmarking.
- · Familiarity with Agile development.
- · Logic and problem-solving aptitude.
- · Knowledge of automation tools like Selenium, Appium along with any programming language like JAVA/Python is plus
Responsibilities
- · Analyze and review system specifications.
- · Collaborate with developers to build test cases
- · Execute test cases and analyze results.
- · Find bugs early in the product development lifecycle and report issues.
- · Document and communicate the results of the test cases.
- · Review the product code.
- · Knowledge of capturing and diagnosing server logs.

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Requirements:
- Proficient in fundamental Software Design Principles, Data Structures, Algorithms, Problem Solving and Complexity Analysis.
- Proficient in programming languages like Python/Java/Javascript/Golang or similar.
- Strong understanding of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Hands-on Experience with SQL/NoSQL databases such as Postgres, Mysql, MongoDB.
- Hands-on experience with GIT, CI/CD, REST APIs and Cloud ( AWS/ GCP/ Azure) will be preferred.
- Understanding of Microservice Architecture and System Design Principles is a plus.
- Self-driven, detail-oriented and Strong sense of ownership, urgency, and ability to deliver great work.
- Demonstrated expertise in developing, releasing and maintaining large scale software applications.
Senior Executive - Analytics
Overview of job :-
Our Client is the world’s largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.
We are currently looking for a Sr Executive – Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength so we respect and nurture their individual talent and potential.
Reporting of the role - This role reports to the Director - Analytics,
3 best things about the job:
1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients
2. Build and be a part of a dynamic team
3. Being part of a global organisations with rapid growth opportunities
Responsibilities of the role:
Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.
Work with large data sets via hands-on data processing to produce structured data sets for analysis.
Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python.
What you will need:
Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science or quantitative field.
2-3 years’ experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models. Proficiency in one or more coding languages – preferred languages: Python, R
Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI
Proficiency in using SQL.
Proficiency with one or more statistical tools is a plus – Example: SPSS, SAS, MATLAB, Mathcad.
Working experience using big data technologies (Hive/Hadoop) is a plus

We are looking for a talented unity developer to join our design team. As a unity developer, you will be responsible for planning and implementing game functionality, building the game code, identifying bottlenecks, and ensuring the quality of the finished product. You may also be required to build patches and install game updates.
To ensure success as a unity developer, you should have extensive experience working with Unity and Unity3D software, excellent coding skills, and a good eye for detail. A top-class Unity developer can visualize, design, and code games that speak directly to the target market.
Datametica is Hiring for Datastage Developer
- Must have 3 to 8 years of experience in ETL Design and Development using IBM Datastage Components.
- Should have extensive knowledge in Unix shell scripting.
- Understanding of DW principles (Fact, Dimension tables, Dimensional Modelling and Data warehousing concepts).
- Research, development, document and modification of ETL processes as per data architecture and modeling requirements.
- Ensure appropriate documentation for all new development and modifications of the ETL processes and jobs.
- Should be good in writing complex SQL queries.
About Us!
A global Leader in the Data Warehouse Migration and Modernization to the Cloud, we empower businesses by migrating their Data/Workload/ETL/Analytics to the Cloud by leveraging Automation.
We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, Datastage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.
Datametica is a key partner of the major cloud service providers - Google, Microsoft, Amazon, Snowflake.
We have our own products!
Eagle – Data warehouse Assessment & Migration Planning Product
Raven – Automated Workload Conversion Product
Pelican - Automated Data Validation Product, which helps automate and accelerate data migration to the cloud.
Why join us!
Datametica is a place to innovate, bring new ideas to live and learn new things. We believe in building a culture of innovation, growth and belonging. Our people and their dedication over these years are the key factors in achieving our success.
Benefits we Provide!
Working with Highly Technical and Passionate, mission-driven people
Subsidized Meals & Snacks
Flexible Schedule
Approachable leadership
Access to various learning tools and programs
Pet Friendly
Certification Reimbursement Policy
Check out more about us on our website below!
www.datametica.com
1: Min exp of 3-4 years
2: Experience in sales for Software, IT products , demo and closing.
3: Will be responsible for the entire sales funnel: Lead Sourcing>> Closure
4: HubSpot/Marketing Automation knowledge is a plus
5: Excellent Communication: Written & Verbal & Presentation
6: Global Experience Mandatory APAC market
7 International Client handling experience is preferred
8: Candidates with agency background will be preferred

Candidate should have experince in L2 L3 Testing
Experience in Automation, Manual and Rgression Testing
Scripting language Python
Experience in Networking




• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations




