Sponsorship Sales Specialist

Responsibilities:

• Inquisitive Research: Conduct extensive market research, identifying problematic areas and solutions to our clients' offerings.
• Strategic Content Planning: Develop an exhaustive content calendar on a weekly/monthly basis, ensuring our clients' narratives are consistently shared on social media handles.
• Meaningful Content Creation: Create meaningful content that promotes different offers and other creative aspects of our clients' stories on social media platforms.
• Campaign Management: Plan and execute social media campaigns to boost brand awareness and engagement, aligning with our clients' narratives.
• Digital Marketing Support: Provide unconditional support to our digital marketing team, assisting them in their day-to-day activities and amplifying our clients' narratives.

You'll Be a Perfect Fit If You Have:

• Inquisitive Nature: You have an inquisitive nature, staying up-to-date with social media trends and exploring innovative ways to increase followers and engagement.
• Enthusiasm: Enthusiasm for social media and content creation, bringing new ideas to enhance our clients' narratives.
• Team Player: You are someone who can take one for the team, collaborating effectively to amplify our clients' stories on social media.

The Client is the world’s largest media investment company. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channel We are currently looking for a Manager Analyst – Analytics to join us. In this role, you will work on

various projects for the in-house team across data management, reporting, and analytics.

Responsibility:

•       Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics

•       Develop data extraction and manipulation code based on business rules

•       Design and construct data store and procedures for their maintenance  Develop and maintain strong relationships with stakeholders  Write high-quality code as per prescribed standards.

•       Participate in internal projects as required

Requirements:

•       2-5 years for strong experience in working with SQL, Python, ETL development.

•       Strong Experience in writing complex SQLs

•       Good Communication skills

•       Good experience of working with any BI tool like Tableau, Power BI.

•       Familiar with various cloud technologies and their offerings within the data specialization and Data Warehousing.

•       Snowflake, AWS are good to have.

Minimum qualifications:

•       B. Tech./MCA or equivalent preferred

Excellent 2 years Hand on experience on Big data, ETL Development, Data Processing.  

Role Overview

Summary of Role

We are looking for a passionate and skilled Product Manager, we expect you to bring a fresh pair of eyes for both product planning and product marketing. This includes managing the product throughout the Product Lifecycle, gathering and prioritizing product and customer requirements, defining the product vision, and working to deliver winning products. 

Must Have Background for this Role:

• Min 5-12 years of strong experience in product management role
• Previous experience in Fintech domain 
• Bachelor’s degree (MBA preferred)

Required Skills for this Role: 

• Define the product strategy and roadmap
• Build innovative financial products in a cross-functional team. Deeply understand the needs and problems of our users. 
• Develop product positioning strategies.
• Work closely with engineering to ensure developers understand the required functionality and are building the right functionality to meet the market need and are easy to implement and maintain.
• Recommend and drive implementation of improvements to the product development process
• Document and manage the user experience.
• Proven problem-solving capabilities.
• Deliver a monthly revenue forecast.

Also Nice to Have Skills and Background: 

• Excellent written and verbal communication skills 
• Excellent teamwork skills
• Demonstrated success defining and launching excellent products

Job Title: Data Engineer

Job Summary: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and tools necessary for data collection, storage, processing, and analysis. You will work closely with data scientists and analysts to ensure that data is available, accessible, and in a format that can be easily consumed for business insights.

Responsibilities:

• Design, build, and maintain data pipelines to collect, store, and process data from various sources.
• Create and manage data warehousing and data lake solutions.
• Develop and maintain data processing and data integration tools.
• Collaborate with data scientists and analysts to design and implement data models and algorithms for data analysis.
• Optimize and scale existing data infrastructure to ensure it meets the needs of the business.
• Ensure data quality and integrity across all data sources.
• Develop and implement best practices for data governance, security, and privacy.
• Monitor data pipeline performance / Errors and troubleshoot issues as needed.
• Stay up-to-date with emerging data technologies and best practices.

Requirements:

Bachelor's degree in Computer Science, Information Systems, or a related field.

Experience with ETL tools like Matillion,SSIS,Informatica

Experience with SQL and relational databases such as SQL server, MySQL, PostgreSQL, or Oracle.

Experience in writing complex SQL queries

Strong programming skills in languages such as Python, Java, or Scala.

Experience with data modeling, data warehousing, and data integration.

Strong problem-solving skills and ability to work independently.

Excellent communication and collaboration skills.

Familiarity with big data technologies such as Hadoop, Spark, or Kafka.

Familiarity with data warehouse/Data lake technologies like Snowflake or Databricks

Familiarity with cloud computing platforms such as AWS, Azure, or GCP.

Familiarity with Reporting tools

Teamwork/ growth contribution

• Helping the team in taking the Interviews and identifying right candidates
• Adhering to timelines
• Intime status communication and upfront communication of any risks
• Tech, train, share knowledge with peers.
• Good Communication skills
• Proven abilities to take initiative and be innovative
• Analytical mind with a problem-solving aptitude

Good to have :

Master's degree in Computer Science, Information Systems, or a related field.

Experience with NoSQL databases such as MongoDB or Cassandra.

Familiarity with data visualization and business intelligence tools such as Tableau or Power BI.

Knowledge of machine learning and statistical modeling techniques.

If you are passionate about data and want to work with a dynamic team of data scientists and analysts, we encourage you to apply for this position.

About Us :

Docsumo is Document AI software that helps enterprises capture data and analyze customer documents. We convert documents such as invoices, ID cards, and bank statements into actionable data. We are work with clients such as PayU, Arbor and Hitachi and backed by Sequoia, Barclays, Techstars, and Better Capital.

As a Senior Machine Learning you will be working directly with the CTO to develop end to end API products for the US market in the information extraction domain.

Responsibilities :

• You will be designing and building systems that help Docsumo process visual data i.e. as PDF & images of documents.
• You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to finished apps.
• You will get to learn the ins and outs of building core capabilities & API products that can scale globally.
• Should have hands-on experience applying advanced statistical learning techniques to different types of data.
• Should be able to design, build and work with RESTful Web Services in JSON and XML formats. (Flask preferred)
• Should follow Agile principles and processes including (but not limited to) standup meetings, sprints and retrospectives.

Skills / Requirements :

• Minimum 3+ years experience working in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification, etc.
• Must have a full-time degree in Computer Science or similar (Statistics/Mathematics)
• Working with OpenCV, TensorFlow and Keras
• Working with Python: Numpy, Scikit-learn, Matplotlib, Panda
• Familiarity with Version Control tools such as Git
• Theoretical and practical knowledge of SQL / NoSQL databases with hands-on experience in at least one database system.
• Must be self-motivated, flexible, collaborative, with an eagerness to learn

Responsible for overall, management of all statutory compliances with documentation

1. Working on data, reconciliation statements for assessments, audits etc

1. Preparation & Submission of Monthly/periodical compliance MIS and statements, financial reports as may be required or prescribed.

1. Responsible for preparation and management of books of accounts, accounts finalization.

1. Preparation and review of Financial Statements as per Ind As, audit co-ordination

1. Team Management

1. Tally and MS Office knowledge

Location:- Pune

Experience: CA with 5-6 years

- Ensure reliability and efficiency of both large-scale cloud systems and business-operations

- Build and manage systems, infrastructure and applications through automation

- Develop and maintain CI/CD pipeline

- Build/Maintain alerting and monitoring service

- Automate all manual operations work

- Strong experience of AWS ecosystem

- Good working experience in python

- Experience in CI/CD tools like Jenkins

- Experience with Infrastructure automation tools like salt stack or chef is a plus

- Minimum 4 Years of work experience in Site Reliability.

- Extensive experience in supporting production Internet services

- Systematic problem-solving approach, coupled with effective communication skills and a sense of drive