Data Analytics Trainer

Review Criteria

• Strong Data / ETL Test Engineer
• 5+ years of overall experience in Testing/QA
• 3+ years of hands-on end-to-end data testing/ETL testing experience, covering data extraction, transformation, loading validation, reconciliation, working across BI / Analytics / Data Warehouse / e-Governance platforms
• Must have strong understanding and hands-on exposure to Data Warehouse concepts and processes, including fact & dimension tables, data models, data flows, aggregations, and historical data handling.
• Must have experience in Data Migration Testing, including validation of completeness, correctness, reconciliation, and post-migration verification from legacy platforms to upgraded/cloud-based data platforms.
• Must have independently handled test strategy, test planning, test case design, execution, defect management, and regression cycles for ETL and BI testing
• Hands-on experience with ETL tools and SQL-based data validation is mandatory (Working knowledge or hands-on exposure to Redshift and/or Qlik will be considered sufficient)
• Must hold a Bachelor’s degree B.E./B.Tech else should have master's in M.Tech/MCA/M.Sc/MS
• Must demonstrate strong verbal and written communication skills, with the ability to work closely with business stakeholders, data teams, and QA leadership
• Mandatory Location: Candidate must be based within Delhi NCR (100 km radius)

Preferred

• Relevant certifications such as ISTQB or Data Analytics / BI certifications (Power BI, Snowflake, AWS, etc.)

Job Specific Criteria

• CV Attachment is mandatory
• Do you have experience working on Government projects/companies, mention brief about project?
• Do you have experience working on enterprise projects/companies, mention brief about project?
• Please mention the names of 2 key projects you have worked on related to Data Warehouse / ETL / BI testing?
• Do you hold any ISTQB or Data / BI certifications (Power BI, Snowflake, AWS, etc.)?
• Do you have exposure to BI tools such as Qlik?
• Are you willing to relocate to Delhi and why (if not from Delhi)?
• Are you available for a face-to-face round?

Role & Responsibilities

• 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
• Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
• Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
• Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
• Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
• Experience of conducting test of migrated data and defining test scenarios and test cases for the same
• Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
• Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations

Ideal Candidate

• 5 years’ experience in Data Testing across BI Analytics platforms with at least 2 largescale enterprise Data Warehouse Analytics eGovernance programs
• Proficiency in ETL Data Warehouse and BI report dashboard validation including test planning data reconciliation acceptance criteria definition defect triage and regression cycle management for BI landscapes
• Proficient in analyzing business requirements and data mapping specifications BRDs Data Models Source to Target Mappings User Stories Reports Dashboards to define comprehensive test scenarios and test cases
• Ability to review high level and low-level data models ETL workflows API specifications and business logic implementations to design test strategies ensuring accuracy consistency and performance of data pipelines
• Ability to test and validate the migrated data from old platform to an upgraded platform and ensure the completeness and correctness of migration
• Experience of conducting test of migrated data and defining test scenarios and test cases for the same
• Experience with BI tools like Qlik ETL platforms Data Lake platforms Redshift to support end to end validation
• Exposure to Data Quality Metadata Management and Data Governance frameworks ensuring KPIs metrics and dashboards align with business expectations

Job Title: Digital Marketing

Location: Ghatkopar

Department: Sales and Marketing

Experince: 2+years

Salary Range: upto 35,000 (Negotiable)

Key Responsibilities

 Develop and execute digital marketing strategies to increase brand awareness and online engagement.

 Manage and optimize company social media platforms (LinkedIn, Facebook, Instagram, Twitter, etc.).

 Create, curate, and publish engaging content for digital channels.

 Perform keyword research and implement SEO strategies to improve website ranking.

 Manage email marketing campaigns and newsletters.

 Edit and produce high-quality videos for marketing campaigns and social media.

 Collaborate with internal teams to align marketing strategies with business goals.

 Stay updated with industry trends and emerging digital marketing technologies.

 Handle Domestic + International exhibitions

 Co-ordinate with agency and keep website updated.

 Manage digital assets for exhibitions (banners, invites, branded stationery)

 Execute email, WhatsApp, and social media campaigns and reporting.

Qualifications And Skills

 Bachelor's degree in Marketing, Digital Marketing, Communications, or a related field.

 Proven experience (2+ years) in digital marketing or a similar role.

 Hands-on experience with social media management and advertising tools.

 Hands-on experience with Designing tools (Canva, Illustrator).

 Excellent written and verbal communication skills.

 Creative thinking and ability to generate innovative marketing ideas.

 Ability to analyze data and provide insights for continuous improvement.

 Understanding of video marketing and content creation.

 Ability to multitask and manage timelines in a dynamic, fast-paced environment

Who are we?

We are a training consultancy that works with leading tech clients in the world.

We support clients to meet their learning and development needs by designing

and facilitating workshops and designing organizational development

initiatives. We are excited about customizing content to suit client culture and

business. We love to innovate and find newer ways to engage participants. And

we are passionate about finding tech solutions to support clients. We love

learning and development.

The job: Intern-L&D & Psychology

We are looking for an L&D Intern to join our team. Understanding

what clients’ needs and diving deep into books and research articles, being

able to cull out relevant information and turning that into something useful for

clients, creating conceptual frameworks to make complex things simple,

creating a story board for a training workshop using the information gathered

are activities that give you a high.

Role

• Unpack client needs and articulate them in a solution-oriented way

• Lose track of time while researching content

• Enjoy the journey of turning researched content into useful insights and

toolsEntry to the club

• Ability to think conceptually

• Avid reader of non-fiction involving psychology and management

• Can’t stop learning

• Engaging communication skills

• Energized by working with colleagues that stretch you

Requirements

• Graduation in psychology – industrial, organization, social preferred or

BBA/MBA with HR specialization

• Some experience (even in terms of college projects) of learning and

development related work

• A list of books you have read and loved

• Papers, dissertations, PPTs you have written

What you will get

• A decent remuneration matching your skills

• A challenging set of projects

• An open, flexible, supportive culture

• Tons of learning opportunities

The ideal candidate will cultivate relationships with prospective clients in order to catalyze business development success.This individual will schedule meetings with clients in order to understand their needs.

Responsibilities

• Generate appointments by means of proactive outbound prospecting.
• This will happen via Linkedin, Email, cold calling, social media or any other channel.
• Work directly with sales and marketing to discover opportunities from leads.
• Demonstrate strong selling and influencing skills

Qualifications

• Bachelor's degree or equivalent experience
• Experience of selling in the USA and Canada market will be an added advantage
• 0-12 months of experience in related role
• Strong communication and time management skills
• Experience of working with Apollo, Instantly will be highly recommended

Click here for more information: https://www.robylon.ai/

you should be good in react node and javascript and able to build projects on the same. 

You will be the part of India Accelerator tech team, the best startup Accelerator of india. Great learning and growth opportunity

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology