Marketing Delivery Manager

Description of Role: 

We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG).

Key responsibilities:

As part of the Data & Analytics Group (DAG) and reporting to the Head of the India DAG locally, the individual is responsible for the following –

1.Review, analyze, and resolve data quality issues for enterprise core data in the IM Data Warehouse.

2.Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.

3.Coordinate the onboarding of data from various internal / external sources into the central repository.

4.Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.

5.End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.

6.Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.

7.Document business requirements and use cases for data-related projects.

8.Manage change control process and participate in user acceptance testing (UAT) activities.

9.Support other DAG initiatives.

Key Skills:

1.Ability to interact with business and technology teams to understand processes and data usage.

2.Ability to do data analysis - to trace data from source to consumption.

3.Capable of working across organization and as part of a cross-functional virtual team. Ability to work and think independently, but within a team-based approach.

4.Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.

5.Strong communication skills

Key qualifications:

1.Bachelor’s Degree required and any other relevant academic course a plus.

2.Strong domain knowledge of investment data

3.5+ years of data management, data analytics, or data governance experience in financial services

4.Experience in data analysis, exploratory analysis using SQL and formulating data quality rules.

5.Experience working with BI reporting tools like Tableau, Power BI is preferred.

6.Knowledge in coding, Python is a plus.

7.Prior experience working with Data Platforms like Aladdin, FactSet, Bloomberg, MDM platforms preferred.

3+ years of experience in cybersecurity, with a focus on application and cloud security.

· Proficiency in security tools such as Burp Suite, Metasploit, Nessus, OWASP ZAP, and SonarQube.

· Familiarity with data privacy regulations (GDPR, CCPA) and best practices.

· Basic knowledge of AI/ML security frameworks and tools.

MUST HAVE SKILLS

1. Minimum 5 +years of experience in.Net, MVC, and Web API.c#.

2. Minimum 2-3 years of experience in Angular 5, Angular6+.

3. Very good communication skills.

4. Experience with RESTful APIs to connect other backend services.

5. Should have developed more than 2 applications.

6. CI/CD, GIT

7. Good with Threading

8. Experience with performance improvement of applications.

Snowflake SRE JD

Your Role Accountabilities

• Primarily responsible for administrating Snowflake environments on AWS
• Identify, tune, and fix the performance issues on priority.
• Diagnose and troubleshoot Snowflake related errors and work with team to raise support tickets, follow ups and help to resolve them.
• Implement security, roles, users and privileges using the best practices.
• Provide database/objects recovery as need on basis.
• Design, identify and implement high performing and highly available data warehouse solutions.
• Create database, schema, tables, views, data sharing
• Create Snowflake utilization and capacity/cost plans, identifies, and provide solution for abnormalities.
• Proactively identify, design, and implement process improvements like automating manual processes
• Stay up-to-date with the latest features and best practices in Snowflake administration
• Follow existing database runbooks, create and maintain new runbooks for new and improved processes
• Provide 24X7 On-call support by participating in rotation schedule.

Qualifications & Experiences

• Bachelor's degree in computer science, information systems, or information technology.
• 10+ years of experience as a database administrator.
• Minimum 5+ years of hands-on administration experience, from setting up the Snowflake environments to successfully administering it (AWS preferred)
• Experience automating, scripting, and streamlining processes for efficiency and accuracy utilizing Unix shell scripting, Python etc.
• Some experience with AWS with knowledge of S3, EC2, VPC, IAM, Security, Networking etc.
• Ability and experience with the development of processes and procedures to standardize Database configuration
• Extensive experience with implementation and maintenance of Disaster Recovery and High availability.
• Ability to work on unusually complex technical problems and provide solutions that are highly innovative and ingenious.
• Ability to provide technical documentation and project plans for technical staff members.
• Excellent communication, presentation, and customer relationship skills.
• Excellent organizational and time management skills to handle multiple tasks simultaneously
• Ability to provide 24/7 support.

Job Description

We are looking for a talented Magento 1 and 2 developer that will oversee maintaining our

eCommerce website. Your main tasks will be to ensure that the last security patches are installed and that existing functionality continues to work properly. You will also oversee developing new modules and applying any required front-end changes.

What we expect from you?

Good experience in eCommerce development

Strong debugging skills, Code flow analysis, and the ability to read and modify existing

code.

Good knowledge of Payment gateway integration

Shopify experience will be a big plus.

2+ years of work experience.

Strong problem-solving and troubleshooting skills.

Good communication and Learning attitude.

Strong object-oriented programming knowledge

Very good PHP knowledge

JavaScript is a must for front-end development

Extensive LESS & CSS knowledge

Magento certification is a big plus

What you will get to work on?

Create responsive sections as per the requirement given to you.

Bug fixing, testing, and maintenance of the site.

Data entry work is also included

Regularly update our Magento installation

Install security patches

Develop new functionality

Implement front-end changes.
For more details dial - nine/one/zero/one/four/double three/eight/one/two.

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.

The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, PHP analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the PHP ecosystem.

• Identify bad code practices in PHP and write new rules to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in PHP.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with PHP best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.