Growth Management (open across all levels)

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

Job Title: Digital Marketing Head

Location: KGiSL, Coimbatore

Experience Required: 5–6 Years

Employment Type: Full-time

About the Role:

We are looking for an experienced and strategic Digital Marketing Head to lead our marketing initiatives. The ideal candidate will have hands-on expertise in digital campaigns, SEO/SEM, social media marketing, and content strategy, along with leadership skills to manage and mentor a marketing team.

Key Responsibilities:

• Develop and execute digital marketing strategies aligned with organizational goals.
• Lead and manage the digital marketing team, ensuring delivery of KPIs.
• Oversee SEO, SEM, Google Ads, and paid media campaigns to maximize ROI.
• Manage and optimize social media presence across multiple platforms.
• Plan and execute content marketing strategies (blogs, creatives, videos).
• Monitor analytics and performance metrics to measure campaign success.
• Identify new digital trends and technologies to stay ahead in the market.
• Coordinate with cross-functional teams (Sales, Product, Design) to support business growth.
• Manage digital marketing budgets and ensure cost-effective execution.

Required Skills & Qualifications:

• MBA/Graduate with specialization in Marketing or equivalent.
• 5–6 years of proven experience in digital marketing, with leadership exposure.
• Strong expertise in SEO, SEM, Google Ads, Social Media, Email Marketing, Content Strategy, and Analytics tools.
• Experience in handling large-scale digital campaigns and lead generation.
• Excellent leadership, communication, and analytical skills.
• Ability to work in a fast-paced environment and deliver results.

Perks & Benefits:

• Competitive salary with performance-based incentives.
• Opportunity to lead digital strategy for a reputed organization.
• Career growth and professional development support.
• Dynamic and collaborative work culture.

📩 If you are interested, kindly share your resume with us to move forward with the process.

Job Description: Data Engineer 

Position Overview:

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.

· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).

· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.

· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.

· Ensure data quality and consistency by implementing validation and governance practices.

· Work on data security best practices in compliance with organizational policies and regulations.

· Automate repetitive data engineering tasks using Python scripts and frameworks.

· Leverage CI/CD pipelines for deployment of data workflows on AWS.

Required Skills and Qualifications

· Professional Experience: 5+ years of experience in data engineering or a related field.

· Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.

· AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:

· AWS Glue for ETL/ELT.

· S3 for storage.

· Redshift or Athena for data warehousing and querying.

· Lambda for serverless compute.

· Kinesis or SNS/SQS for data streaming.

· IAM Roles for security.

· Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.

· Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.

· DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.

· Version Control: Proficient with Git-based workflows.

· Problem Solving: Excellent analytical and debugging skills.

Optional Skills

· Knowledge of data modeling and data warehouse design principles.

· Experience with data visualization tools (e.g., Tableau, Power BI).

· Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

· Exposure to other programming languages like Scala or Java.

Education

· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Why Join Us?

· Opportunity to work on cutting-edge AWS technologies.

· Collaborative and innovative work environment.

1. Java Lead : 8-12 Years – GGN Location - NP : 60 Days max

• Experience on Full stack development and Microservices Architecture.
• Proven experience implementing distributed applications in a container environment (Docker/Kubernetes) along with considerable experience configuring and administrating Linux (or other Unix-like) systems Software engineering experience designing Enterprise Cloud Applications with Golang will be preferred
• Experience in any Databases like Postgres or any NoSQL DB like MongoDb
• Expertise in defining business architecture, business process definition & modelling, use cases, and requirements definition, and associated best practice processes for defining these artifacts
• Proven proficiency in grasping requirements and building illustrative features with minimal specifications
• Experience working in SAfe agile development environments.

The ideal candidate will support the full scope of Human Resources responsibilities and partner with the organization on strategic initiatives. They will maintain and enhance the organization's human resources by planning, implementing, and evaluating human resources policies, programs, and practices.

Responsibilities

• Recruitment and Hiring.
• Training and Development.
• Employer-Employee Relations.
• Maintain Company Culture.
• Manage Employee Benefits.
• Create a Safe Work Environment.
• Handle Disciplinary Actions.
•  

Qualifications

• Bachelor's degree or relevant experience
• Strong recruiting and demonstrated ability to improve talent acquisition strategies
• Demonstrated expertise in training managers and employees
• Strong organizational, critical thinking and communications skills
• Attention to detail and good judgement

Minimum 5-7years of professional experience building web-applications
Strong experience in backend development
Strong experience in AI/Machine Learning development, Data Analysis/Processing
Experience in creating robust and secure REST APIs
Hands-on exposure to RDBMS like PostgreSQL, MySQL, MariaDB etc.
Proficiency with one or more programming languages from Java, Python, Node/JavaScript
Solid familiarity working with cloud and related technologies, AWS, GCP and Azure cloud environments
Ability to do very quick research in unknown technologies
Startup mindset, comfort with chaos and multi-tasking ability
Strong programming fundamentals in Data Structures, Algorithms
An eye for writing performance optimum code in any tool set

• 2+ years of software development experience
• Experience designing, implementing and using web services in a Microservice Architecture
• Experience and a good understanding of Node.JS
• Experience in working with any JavaScript frameworks (React, Ember, Knockout, etc.)
• Familiar with relational & non-relational databases such as Postgres, Oracle, SQL Server, MySQL, Dynamo
• Familiar with CI (Continuous Integration) and CD (Continuous Delivery)
• Nice to have - Experience with AWS  
• Nice to have - Experience working in an agile development process

• See the inherent challenges in all things; if a task is complicated, you simplify it; if it is simple, you excel at it; if it is mundane, you automate it
• Be a problem solver; be given any problem and will come back with solutions, or at least alternatives
• Be a perfectionist; you are not satisfied until your code is rock solid
• Be pragmatic; you implement the best solution for the problem, not the coolest solution, and can tell the difference
• See the big picture; we write software to solve real business problems