Data Engineer

CodeCraft Technologies is an award-winning creative engineering company where highly skilled designers and engineers work closely and bring to life, user-focused solutions.

Proven design & development methodologies are leveraged, and the latest technologies are explored, to deliver best-in-class mobile and web solutions. Our success is built on a team of talented and motivated individuals who drive excellence in everything they do. We are seeking a highly skilled and experienced Lead Data Scientist to join our growing team.

Responsibilities:

● Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.

● Develop custom data models and algorithms to apply to data sets.

● Use predictive modeling to increase and optimize the business process and solutions

● Research and development of AI algorithms and their applicability in business-related problems to build intelligent systems.

● Build a Solid Data Science Team: Provide strategic direction for the data science team. Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration and continuous learning.

● Explore the latest technologies in the Data science domain and develop POCs.

● Establish a Technology Partnership with the leading technology providers in the AI/ML space.

● MLOps – Deploy ML solutions to the cloud.

● Collaborate with the content team to produce Tech blogs, case studies, etc.,

Required Skill Set:

● Strong foundational knowledge of data science concepts, machine learning algorithms, and programming skills in Python (and/or R).

● Expertise in Generative AI (GenAI), Large Language Models (LLM), Natural Language Processing (NLP), image processing and/or video analytics

● Proven track record of supporting global clients or internal stakeholders in data science projects.

● Experience in data analytics, descriptive analytics and predictive analytics

● Experience using AI/ML tools available from cloud service providers like AWS/AZURE/GCP including TensorFlow, SageMaker, and Azure ML

● Experience in deploying solutions to the cloud [AWS/Azure/GCP]

● Experience with Data Visualization tools like PowerBI, Tableau

● Proficient in SQL and other database technologies.

● Good understanding of the latest research and technologies in AI.

● Experience working across multiple geographic borders and time zones

● Outstanding communication and presentation skills

Education:

● Graduation/Post-graduation in Computers/Engineering/Statistics from a reputed institute

Qualifications & Experience:

▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design

▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.

▪ Expert in SQL, worked on advanced SQL for at least 2+ years

▪ Good development skills in Java, Python or other languages

▪ Experience with EMR, S3

▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview

▪ Comfortable working in an agile environment

Role - Senior Executive Analytics (BI)

Overview of job -

Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Executive Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength, so we respect and nurture their individual talent and potential.

Reporting of the role - This role reports to the Director - Analytics.

3 best things about the job:

1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients

2. Build and be a part of a dynamic team

3. Being part of a global organisations with rapid growth opportunities

Responsibilities of the role:

• Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python, SQL, Alteryx.

• Work with large data sets via hands-on data processing to produce structured data sets for analysis.

• Good to Have - Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.

What you will need:

• Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science, or quantitative field.

• Proficiency in one or more coding languages – preferred languages: Python, R

• Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI

• Proficiency in using SQL.

• Minimum 3 years of experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models is a plus.

Location:  Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer

Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI

Requirements:

• To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
• Design and develop AI//ML models to be deployed across factories
• Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
• Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
• Prior experience in developing AI and ML models is required
• Experience with data from the Manufacturing Industry would be a plus

Roles and Responsibilities:

• Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
• Multitasking, good communication necessary
• Entrepreneurial attitude

• Job Location:                      Chennai
• Reporting to:                      Team Leader, Energy Management System

Company Profile :

Merilytics, an Accordion company is a fast-growing analytics firm offering advanced a and intelligent analytical solutions to clients globally. We combine domain expertise, advanced analytics, and technology to provide robust solutions for clients' business problems. You can find further details about the company at https://merilytics.com.

We partner with our clients in Private Equity, CPG, Retail, Healthcare, Media & Entertainment, Technology, Logistics industries etc. by providing analytical solutions to generate superior returns. We solve clients' business problems by analyzing large amount of data to help guide their Operations, Marketing, Pricing, Customer Strategies, and much more.

Position :

- Business Associate at Merilytics will be working on complex analytical projects and is the primary owner of the work streams involved.

- The Business Associates are expected to lead the team of Business Analysts to deliver robust analytical solutions consistently and mentor the Analysts for professional development.

Location : Hyderabad

Roles and Responsibilities :

The roles and responsibilities of a Business Associate will include the below:

- Proactively provide thought leadership to the team and have complete control on the delivery process of the project.

- Understand the client's point of view and translate it into sound judgment calls in ambiguous analytical situations.

- Highlight potential analytical issues upfront and resolve them independently.

- Synthesizes the analysis and derives insights independently.

- Identify the crux of the client problem and leverage it to draw relevant actionable insights from the analysis/work.

- Ability to manage multiple Analysts and provide customized guidance for individual development.

- Resonate with our five core values - Client First, Excellence, Integrity, Respect and Teamwork.

Pre-requisites and skillsets required to apply for this role :

- Undergraduate degree (B.E/B.Tech.) from tier-1/tier-2 colleges are preferred.

- Should have 2-4 years of experience.

- Strong leadership & proactive communication to coordinate with the project team and other internal stakeholders.

- Ability to use business judgement and a structured approach towards solving complex problems.

- Experience in client-facing/professional services environment is a plus.

- Strong hard skills on analytics tools such as R, Python, SQL, and Excel is a plus.

Why Explore a Career at Merilytics :

- High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility.

- Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes.

- Entrepreneurial Environment: Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities.

- Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve.

Other benefits for full time employees:

(i) Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctor's consultations, counselors, etc.

(ii) Corporate Meal card options for ease of use and tax benefits.

(iii) Work dinners, team lunches, company sponsored team outings and celebrations.

(iv) Reimbursement support for travel to the office, as and when promulgated by the Company.

(v) Cab reimbursement for women employees beyond a certain time of the day.

(vi) Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests.

(vii) Reward and recognition platform to celebrate professional and personal milestones.

(viii) A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development.

Skills