Product Manager/Lead

Qualification: B.Sc computer science/IT or BCA AND M.Sc computer Science/IT or MCA

Experience: Freshers (preferred candidates residing in and around coimbatore - no hostel facility)

Thavathiru Santhalinga Adigalar Arts, Science & Tamil College (TSA Tamil College) is a renowned institution located in Perur, Coimbatore, Tamil Nadu.Established in 1953 by the historic Perur Aadheenam, the college was founded with the mission to promote Tamil language, culture, and holistic education among rural youth

    Working knowledge (including design and configuration) of any TMS application e.g. ION-IT2, Oracle Treasury, SAP TRM, etc.

2.      Should have completed at least 4 years in any TMS IT implementation 

3.      Strong experience with corporate funding, treasury, and related accounting functions. 

4.      Experience in business transformation with adapting existing systems to new businesses and strategies 

5.      Strong academic background – An excellent degree from a top-tier university is required in a subject that demonstrates the need for logical thinking, precise understanding, and clear articulation

Attributes:

·       Independent delivery and ownership-focused

·       End-to-end process mindset

·       Able to self-manage, collaborate, and regularly prioritize and manage activities across multiple workstreams

·       Good communicator, engaging, and able to work with offshore teams across various time zones

·        Excellent written and verbal communication skills

·       Ability to make data-driven decisions & thrive in a fast-paced environment

Key Responsibilities:

Accountable for functionally supporting Trafigura’s IT deliverables for the TMS application. Including;

6.      Ensuring TMS application supports the agreed business requirements.

7.      Review and challenge all requirements/change requests and specifications including:

1.      Functional Requirements

1.      Application functions

2.      Reporting functions

2.      Application Interfaces

3.      Operational control activities

4.      Audit requirements

8.      Documenting the implementation specifications/configurations, and preparing a knowledge base for the application.

9.      Where required, administering, the configuration of the TMS.

10. Develop (review if required) test scenarios and test cases and support end-users with testing

11. Support all type of issue resolution with the respective application owners

12. Identify areas of improvement, research best practices, and offer guidance and recommendations for process changes and potential solutions

Your job as a business development manager is to identify sales leads, pitch our product to new clients and onboard them, and maintain a good working relationship with new contacts/schools. Communicating new product developments to prospective clients.

1. Meeting schools and onboarding them
2. Creating and managing top level sales funnel and generate leads
3. Organize and coordinate operations in ways that ensure maximum productivity
4. Managing customer and channel affiliated relationship with client
5. Conducting demos and presentation of the product
6. Monitor sales, marketing & operational activities; implement strategies to maximise channel sales & collections as well as smooth operations.
7. Review your own sales performance, aim to meet or exceed targets
8. Gather market and customer information and provide feedback on the same

Why you?

1. 5 + years experience in a sales role with schools, preferably in edtech and having a client base ( having direct relationship with the school management) of around 100-150 schools in their region.
2. B.tech/MBA degree.
3. Detailed understanding of the principles of sales
4. Strong communication skills
5. Proven track record in achieving sales quotas
6. Open to travelling.

Perks:

Apart from very competitive compensation, you will:

1. Work in a high paced growth environment
2. Work with a very experienced team

Must have attributes:

1. Extreme sense of ownership
2. Bias for action
3. Ability to change the preempt and iterate the course of action to achieve targets.

Requirements:

• Must have 5+ years of experience
• Strong proficiency in data engineering concepts and practices.
• Extensive experience in applying data science and machine learning techniques.
• Working knowledge of extracting information from unstructured data sources, particularly PDFs.
• Hands-on experience with Large Language Models (LLMs) such as GPT and Gemini.
• Knowledge of prompt engineering and fine-tuning techniques.
• Practical experience in building Retrieval-Augmented Generation (RAG) systems.
• Experience in processing large volumes of unstructured data, preferably in the insurance, legal, or healthcare sectors.
• Proven experience in extracting valuable insights from diverse data sets.
• Familiarity with Vector Databases, Azure Cloud, LangChain, Lama Index, and OCR tools and techniques.
• Working knowledge of PDF to text extraction tools like PDFMiner, PyMuPDF, or PDFPlumber, OCR tools.
• Skilled in machine learning, deep learning, computer vision, natural language processing (NLP), and generative AI models.

Good to have:

Working knowledge of Python and libraries such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch.

Preferred Qualifications:

BE/MS/PhD in Computer Science, Data Science, Machine Learning, or related fields.

Note: We are looking for passionate candidates who can join immediately.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L1 in Data Engineering, you will do technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. Having hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms will be preferable.

Role & Responsibilities:

Job Title: Senior Associate L1 – Data Engineering

Your role is focused on Design, Development and delivery of solutions involving:

• Data Ingestion, Integration and Transformation

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 3.5+ years of IT experience with 1.5+ years in Data related technologies

2.Minimum 1.5 years of experience in Big Data technologies

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

7.Cloud data specialty and other related Big data technology certifications

Job Title: Senior Associate L1 – Data Engineering

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

• Responsible for providing L1/L2 technical enablement to company customers/partners for any product issues 
• Ensure that the customer issues are managed within target Service Level Agreements (SLA) and all the incoming technical and product inquiries are responded to, in a timely, professional and effective manner. 
• Participate in solution development and publications for the company knowledge base resources 
• Report common user issues, suggest product improvements and convey important product feedback 
• Formulate action plans (technical and operational) for analyzing and resolving reported product issues 
• Stay updated on all product features- current, new & in the pipeline. Work closely with the Product 

Our Ideal Candidate:

• Comes with 2 to 6 years of Technical & Customer-Facing experience, preferably in a System Engineer, Technical Support, or Product Support role 
• Preferably someone from Engineering / MCA background
• Possesses thorough knowledge of Javascript, CSS & HTML 
• Gets a thrill in solving everyday problems. 
• That zeal to not let go of a customer without a solution. 
• Demonstrates impeccable communication and interpersonal skills, and the confidence to work directly with senior executives from large enterprise companies   
• Flexible to align with customers from the North American (9 PM to 6 AM), European (1 to 10 PM), or A&Z (6 AM to 3 PM) time zones, on a rotational basis