Digital Marketing

Job Description: 

Please find below details:

Experience - 5+ Years

Location- Bangalore/Python

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.

Brief Job description:

• Develop, implement, and optimize our digital advertising strategies on platforms like Google AdSense and Meta Ads.
• Meticulously track key performance indicators (KPIs) and optimize campaign performance.
• Stay aware of the industry trends for performance marketing.
• Conduct rigorous analysis and optimization of campaign performance using data- driven insights and strategies devised using quantitative analysis. Budget management to ensure efficient expenditure while maximizing return on investment (ROI).
• Communicate analyses using visualization dashboards and metrics (demand funnel, marketing plan and budgeting, marketing ROI, operational efficiency, campaign impact, and strategic KPIs).

Storytelling platforms have not evolved with smartphones, as we still consume stories being passive observers. At Raidenbit, we are building http://onelink.to/kahaniboxapp">KahaniBox - The Netflix for interactive fiction in Indian languages. We create stories with immersive roleplay experiences that allow the audience to control how the stories unfold and end.

We are looking for an experienced Product Mager who can drive our journey to make KahaniBox the largest interactive fiction platform globally. You would be collaborating while working 100% remotely in flexible timings.

You’d be responsible for 

• Improving core metrics like retention and time spent per month. KahaniBox aims to become an entertainment platform that people can use for years.
• Revamping our mobile player app, website, internal dashboard, and other tools.
• Focusing on the player journey, managing the overall UX and laying out the UI - overseeing the quality, design, mechanics, production, and delivery of the end game products.
• Consistently thinking of ways to use data and making iterations to provide the best user experience.
• Converting business requirements into a well-defined product backlog.

You Have:

• 3-6 years of product management experience around consumer mobile app or mobile game.
• Extraordinary data analysis and problem-solving skills.
• Passion towards storytelling. 
• Excellent wireframing and product specification skills.
• Strong entrepreneurial spirit. Willingness to roll up your sleeves and do whatever it takes to help your team win.

Bonus points if you

• Have experience in the mobile game industry and Unity game engine.
• Can code in at least 1 language.
• Have managed a startup before

Must-Have experience in selling certification courses or technical courses

Roles & Responsibilities:

● Counsell potential Students over a call to inform them about a product and help them in

making better career decisions.

● Answer questions about our products or the company.

● Sale as per requirement from the students.

● Direct prospects to the field sales team when needed.

● Maintain Sales Report and update in the CRM time to time.

● Take and process orders in an accurate manner.

● Go the extra mile to meet sales quota and facilitate future sales.

● Keep records of calls and sales and note useful information.

Skills & Requirements:

● 10 months - 2 years of work experience in sales/business development/voice process.

● Excellent interpersonal and communication skills.

● Strong negotiation skills with a proven ability to seek, create, negotiate, and close a deal.

● Solution-oriented with effective problem-solving skills.

● Customer-Centric Approach.

● Positive attitude and Willingness to learn and excel.

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility