Marketing Manager

JOB BRIEF:

We are looking for an SEO (Search Engine Optimization) person who will lead our web marketing and analytics activities with content strategy, link building and keyword strategy.

JOB DESCRIPTION:

• Develop a strategy for the improvement of organic search ranking and the maximization of ROI.
• Prioritize keywords to attract target audience.
• Monitor and analyse SEO statistics such as redirects, click rate, bounce rate and others.
• Build systems and best practices to ensure that all content is optimal for SEO.
• Manage relationships with web developers and marketing teams to properly implement SEO best practices in coding and campaigns.
• Communicate the performance of process improvements to the Management team.
• Provide feedback regarding any broken links or other problems through the appropriate channels.
• Watch popular SEO Publications and blogs to stay updated on the latest innovations, tools and techniques.
• Research and analyse competitor advertising links.

WHAT POSITION DEMANDS:

• At least 3 years’ experience within the SEO industry
• Strong working knowledge of the latest SEO and SEM techniques and algorithm updates
• Good knowledge of Google Webmaster Tools, Google Analytics and Adwords
• Strong team management skills
• A proven track record in delivering high performance SEO strategies for a range of clients
• Experience in creating effective outreach strategies
• Excellent communication and client-facing skills
• Excellent presentation and reporting skills
• Knowledge of ranking factors and search engine algorithms

WHAT WE OFFER YOU:

• Stable, consistent work hours.
• Competitive salary & comprehensive benefits.
• A fast-paced & high energy work place.
• 5 days working

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.

Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists

Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)

 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus

Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark

Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

Responsibilities:

• Knowledge of more than one technology
• Basics of Architecture and Design fundamentals
• Knowledge of Testing tools
• Knowledge of agile methodologies
• Understanding of Project life cycle activities on development and maintenance
• projects
• Understanding of one or more Estimation methodologies, Knowledge of Quality

processes

Basics of business domain to understand the business requirements

Analytical abilities, Strong Technical Skills, Good communication skills

Good understanding of the technology and domain

Ability to demonstrate a sound understanding of software quality assurance

principles, SOLID design principles and modelling methods

Awareness of latest technologies and trends

Excellent problem solving, analytical and debugging skillsTechnical and Professional

.Net core-3years experience, OOA, Coding, Web API, Rest API, any cloud, any DB

• Designs, codes, tests, debugs, and documents software according to systems quality standards, policies and procedures.
• Analyzes business needs and creates software solutions.
• Responsible for preparing design documentation.
• Prepares test data for unit, string, and parallel testing.
• Evaluates and recommends software and hardware solutions to meet user needs. Resolves customer issues with software solutions and responds to suggestions for improvements and enhancements.
• Works with business and development teams to clarify requirements to ensure testability. Drafts revise and maintain test plans, test cases, and automated test scripts.
• Executes test procedures according to software requirements specifications
• Logs defects and makes recommendations to address defects.
• Retests software corrections to ensure problems are resolved.