Sr. Product Manager

• Sound knowledge of Mongo as a primary skill
• . Should have hands on experience of  MySQL as a secondary skill will be enough
• . Experience with replication , sharding and scaling.
• . Design, install, maintain highly available systems (includes monitoring, security, backup, and performance tuning)
• . Implement secure database and server installations (privilege access methodology / role based access)
• . Help application team in query writing, performance tuning & other D2D issues
• • Deploy automation techniques for d2d operations
• . Must possess good analytical and problem solving skills
• . Must be willing to work flexible hours as needed
• . Scripting experience a plus
• . Ability to work independently and as a member of a team
• . good verbal and written communication skills

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

• Consult with the customers on their needs and curate company products to meet the requirements
• Responsible for the success of workshops, for both the client and facilitator
• Take care of workshop logistics for the client
• Help the client prep for the workshop, answer any questions they may have about the workshop be the face of the company, and ensure smooth delivery of the workshops
• Help facilitator with preparation and travel
• Serve as the primary point of contact when customer issues arise, troubleshooting, and ensuring quick resolution.
• Promote awareness of the company’s upcoming research and products

Basic Qualifications:

• 2 – 5 years of work experience managing senior customer relationships
• Should ensure customer retention, renewal, and growth
• Background in customer success

Department : Sales / EduTech

Experience in Sales (Solution Sales) B2B, Institutional & Corporate 

Min 2-4 Years in EdTech and Overall 6 - 10 Years

Education - B.Tech/B.Com /B.SC/MBA

Role: Individual Contribution

Responsibilities:

• In Depth understanding of the company’s product & integrated solution and its impact on student learning.
• Creation of Sales pipeline & lead generation.
• Understanding the school owner persona and requirement to pitch the appropriate solution matching their need.
• To conduct Product demo and academic discussions with schools.
• Negotiate contracts and close agreements to maximize win-win for successful partnerships to the company’s mission and handover to the Key Account team.
• Maintain the CRM with timely and accurate information.
• Support the KAM team in transition from sign up till operationalisation.
• Support marketing for lead generation campaigns.
• Maintain strong industry knowledge which includes but not limited to competitive offerings & customer aspirations (School Owners, Teachers, Parent, Students).
• Adherence to the sales process

Requirements:
Should be amongst the Top quartile performers & have been formally recognised.

Excellent Communication & Presentations, account risk analysis, negotiation and collaboration skills. 

Locations :-

• Provide the team with a vision and objectives; manage key performance indicators
• Set the monthly, weekly, daily targets for the team and ensure that the targets are achieved
• Maintain the sales report of the team
• Needs to own hiring, firing and deliverables of at least 10 education counselors
• Motivating & mentoring team to achieve & exceed targets
• Design & develop business models
• Conducting weekly reviews for performance & training
• Identifying the areas of improvements & KPI’s
• Involved in a lot of calling on phone for negotiation and objection handling
• Are dynamic professionals who drive their team to exceed business targets
• Possess sound knowledge and understanding of consumer (students and parents) behavior
• Thrive in a fast paced ambiguous work environment
• Have excellent communication skills in English and the regional language
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