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• Following up on leads and winning new clients.
• Developing and implementing strategic plans to manage and grow accounts.
• Retaining clients and building strong, trusting relationships. Understanding client needs and identifying new business opportunities within your portfolio.
• Providing superior customer service and ensuring client satisfaction. Communicating and coordinating with internal teams to deliver solutions.
• Identifying opportunities for improvement and proposing new tools and processes.
• Supporting sales teams to improve their performance and reach targets. Developing and maintaining excellent knowledge and understanding of our business, offerings, competitors, and industry.

Associate – Recruitment.

LinkedIn- https://www.linkedin.com/in/sakshi-kulkarni-292932229/">Sakshi Kulkarni | LinkedIn

Website: http://www.bohiyaanam.com/">http://www.bohiyaanam.com/
Bohiyaanam Talent Solutions

• Strong Site Reliability Engineer (SRE - CloudOps) Profile
• Mandatory (Experience 1) - Must have a minimum 1 years of experience in SRE (CloudOps)
• Mandatory (Core Skill 1) - Must have experience with Google Cloud platforms (GCP)
• Mandatory (Core Skill 2) - Experience with monitoring, APM, and alerting tools like Prometheus, Grafana, ELK, Newrelic, Pingdom, or Pagerduty
• Mandatory (Core Skill 3) ) - Hands-on experience with Kubernetes for orchestration and container management.
• Mandatory (Company) - B2C Product Companies.

Job Objective

The primary objective of the role is to ensure smooth production by addressing Quality issues/problems in production and identifying better solutions and process improvement for operational efficiency. The manager is responsible for Quality Control from the Yarn to Packing Department, including the Lab. A key goal is to ensure 1st Quality Production while maintaining the Overall Rejection for the Plant to be below 5%.

Key Roles & Responsibilities

The responsibilities are categorized into several areas:

Operational

• Responsible for Quality Control for all Production Departments, including Knitting, Seaming, Washing, Boarding, Checking & Packing.

• Managing the Yarn Testing Lab and overseeing all Third Party & Self Inspections.

• Implementing stringent quality control systems and conducting audits to enhance product quality and reduce rejection / wastage.

• Conducting Online Quality Rounds to control quality issues at the online stage.

• Generating and maintaining various monthly/annual reports, such as AOQ (Average Outgoing Quality), Cost of Poor Quality, Quality Trends (All Stages), and Defects wise % reports for Knitting & Finishing.

• Handling and maintaining records of customer queries & complaints, along with corrective actions.

• Adhering to customer-specified Restricted Substance list (RSL) and practicing stringent quality and safety standards on the shop floor.

Strategy & Planning

• Responsible for Quality Compliance.

• Managing all types of Samples (Salesman, Shipment, PP Samples, etc.).

• Handling all Customer Complaints and managing Quality related Customer Coordination.

• Active participation in Quality related reengineering.
• Carrying out various Quality Systems like Quality Circle, 5S, Zero Quality, and TQM.

Additional Responsibility

• Training of New QC's.

• Conducting awareness & training sessions for Quality auditors to build their skill to meet customer quality norms in the process.

• Ensuring Factory Compliance - Technical.

• Supporting improved productivity and efficiency with the budgeted head count.

• Focusing on Cost Saving by striving for 0% reduction in wastage.

People Management

• Ensuring the team understands and adheres to defined clear roles and accountabilities.

• Developing and monitoring Key Performance Indicators (KPIs) of direct reportees and counseling them for development.

• Identifying training and development needs of team members and planning implementation.

• Driving a transparent, performance-driven and result-oriented culture within the team.

• Ensuring succession planning for the manager and critical roles in the team.

• Good understanding and experience of HTML / CSS / JavaScript.
• Hands-on experience with ES6 / ES7 / ES8 features.
• Thorough understanding of the Request Lifecycle (including Event Queue, Event Loop, Worker Threads, etc).
• Familiarity with security principles including SSL protocols, data encryption, XSS, CSRF.
• Expertise in Web Services / REST APIs will be beneficial.
• Proficiency in Linux and deployment on Linux are valuable.
• Knowledge about ORM like Sequelize and ODM like Mongoose and the ability to handle DB transactions is a necessity.
• Experience with Angular JS / React JS will be an added advantage.
• Expertise with RDBMS like MySQL / PostgreSQL will be a plus.
• Knowledge of AWS services like S3, EC2 will be helpful.
• Understanding of Agile and CI/CD will be of value.

Required Candidate profile

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:

• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

• Understanding product features, preparing technical documentation.
• Take ownership over project timelines and deliverables.
• Contribute to the design, architecture and build of our Core Platform.
• Help scale the platform and build out new features.
• Design and develop high-volume, low-latency applications for mission-critical systems, delivering high-availability and performance.
• Self-directed, but also work well with other engineers.
• Write well designed, testable, efficient code.
• Anticipate future technical needs and craft plans to realize them, and balance feature development with investments in tech debt reduction.
• The ability to combine speed and quality and that you can achieve both at same time.
• Excited about working for a startup and moving quickly.
• Experience in team handling will be a plus.
• Work with customers for understanding requirements whenever needed.