11+ Data manipulation Jobs in Mumbai | Data manipulation Job openings in Mumbai

Job Responsibilities:

Excellent problem solving and analytical skills - ability to develop hypotheses,

understand and interpret data within the context of the product / business -

solve problems and distill data into actionable recommendations.

 Strong communication skills with the ability to confidently work with cross-

functional teams across the globe and to present information to all levels of the

organization.

 Intellectual and analytical curiosity - initiative to dig into the why, what & how.

 Strong number crunching and quantitative skills.

 Advanced knowledge of MS Excel and PowerPoint.

 Good hands on SQL

 Experience with in Google Analytics, Optimize, Tag Manager and other Google Suite tools

 Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus

 Inherent interest in e-commerce & marketplace technology platforms and

broadly in the consumer Internet & mobile space.

 Previous experience of 1+ years working in a product company in

a product analytics role

 Strong understanding of building and interpreting product funnels.

Perquisites & Benefits:

 Opportunity to work with India's no.1 crowdfunding platform

 Be a part of a young, smart and rapidly growing team with management from Ivy League and Premier colleges

 Competitive compensation and incentives

 Fun, casual, relaxed and flexible work environment

Work Mode: Hybrid

Need B.Tech, BE, M.Tech, ME candidates - Mandatory

Must-Have Skills:

● Educational Qualification :- B.Tech, BE, M.Tech, ME in any field.

● Minimum of 3 years of proven experience as a Data Engineer.

● Strong proficiency in Python programming language and SQL.

● Experience in DataBricks and setting up and managing data pipelines, data warehouses/lakes.

● Good comprehension and critical thinking skills.

● Kindly note Salary bracket will vary according to the exp. of the candidate - 

- Experience from 4 yrs to 6 yrs - Salary upto 22 LPA

- Experience from 5 yrs to 8 yrs - Salary upto 30 LPA

- Experience more than 8 yrs - Salary upto 40 LPA

Key Responsibilities:

• Install, configure, and maintain Hadoop clusters.

• Monitor cluster performance and ensure high availability.

• Manage Hadoop ecosystem components (HDFS, YARN, Ozone, Spark, Kudu, Hive).

• Perform routine cluster maintenance and troubleshooting.

• Implement and manage security and data governance.

• Monitor systems health and optimize performance.

• Collaborate with cross-functional teams to support big data applications.

• Perform Linux administration tasks and manage system configurations.

• Ensure data integrity and backup procedures.

The Role:

As an ML Engineer at TIFIN, you will be responsible for driving research and innovation in a result-oriented direction. Your role will involve staying updated on the latest research trends and exploring advancements in Natural Language Understanding (NLU) and their applications in conversational AI. You will also play a mentoring role and contribute to improving NLU capabilities using transfer learning from historical conversational data.

Requirements:

• Experience with training and fine-tuning machine learning models on large text datasets.
• Strong computer science fundamentals and at least 3 years of software development experience.
• Track record of thinking big and finding simple solutions while dealing with ambiguity.
• Proven experience as a Natural Language Processing Engineer or in similar roles.
• Good understanding of NLP tricks and techniques for semantic extraction, data structure, and modeling.
• Familiarity with text representation techniques, algorithms, and statistics.
• Knowledge of programming languages such as R, Python, and Java.
• Proficiency in Machine Learning frameworks like TensorFlow, PyTorch, etc.
• Ability to design software architectures and solve complex problems.
• Strong analytical and problem-solving skills.
• Experience in projects related to information retrieval, machine comprehension, entity recognition, text classification, semantic frame parsing, or machine translation is a plus.
• Publications, patents, or conference talks in relevant fields are a bonus.

Skills:

• Should have Extensive command of the English language.
• Deep understanding of content marketing principles, approach, and execution.
• Should be able to work and deliver quality SEO-based content in a fast-paced and dynamic environment
• Should be able to develop and implement a content strategy that encourages high levels of engagement.

 Data auditing, validating and monitoring all data for accuracy.

Create daily, weekly, monthly and quarterly MIS report.

Coordinating  & collecting the data

Updated the data in CRM

Purpose:

We are looking for an analytical and perceptive Brand Manager, fluent in English & a skilled communicator. 

Role and Responsibilities:

• Conduct consumer and market research

• Identify how our brand is currently positioned in the market
• Design a research-based brand strategy
• Develop and execute marketing campaigns aimed at communicating our brand message 
• Communicate our brand personality internally and align company around foundational ideas
• Lead marketing team members through campaigns
• Measure and report on success of marketing campaigns
• Anticipate consumer trends and keep brand up to date

Qualifications and Education Requirements:

Bachelors is a must. PG Preferred.

Preferred Skills

• 1 – 2 years’ experience in Beauty and Healthcare
• Proficiency in MS Excel, PowerPoint, and Word
• Experience working with popular social media advertising platforms found in Facebook, Twitter, and LinkedIn in particular
• Experience working with popular social media monitoring tools (Google, Radian 6, Twitter Search, Social Mention, Traackr, etc) 
• Experience with website analysis using a variety of analytics tools including Google Analytics as well as internal reporting tools.
• Excellent presentation skills
• Working under pressure
• Being passionate and energetic about the brand
•  Organizational and methodical skills are also a bonus