AWS Service Developer

The Client is the world’s largest media investment company. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channel We are currently looking for a Manager Analyst – Analytics to join us. In this role, you will work on

various projects for the in-house team across data management, reporting, and analytics.

Responsibility:

•       Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics

•       Develop data extraction and manipulation code based on business rules

•       Design and construct data store and procedures for their maintenance  Develop and maintain strong relationships with stakeholders  Write high-quality code as per prescribed standards.

•       Participate in internal projects as required

Requirements:

•       2-5 years for strong experience in working with SQL, Python, ETL development.

•       Strong Experience in writing complex SQLs

•       Good Communication skills

•       Good experience of working with any BI tool like Tableau, Power BI.

•       Familiar with various cloud technologies and their offerings within the data specialization and Data Warehousing.

•       Snowflake, AWS are good to have.

Minimum qualifications:

•       B. Tech./MCA or equivalent preferred

Excellent 2 years Hand on experience on Big data, ETL Development, Data Processing.  

Internshala is a dot com business with the heart of dot org.

We are a technology company on a mission to equip students with relevant skills & practical exposure through internships, fresher jobs, and online trainings. Imagine a world full of freedom and possibilities. A world where you can discover your passion and turn it into your career. A world where your practical skills matter more than your university degree. A world where you do not have to wait till 21 to taste your first work experience (and get a rude shock that it is nothing like you had imagined it to be). A world where you graduate fully assured, fully confident, and fully prepared to stake a claim on your place in the world.

At Internshala, we are making this dream a reality!

👩🏻‍💻 Your responsibilities would include-

• Designing, implementing, testing, deploying, and maintaining stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates
• Developing analytical tools and programs that can help in Analyzing and organizing raw data
• Evaluating business needs and objectives
• Conducting complex data analysis and report on results
• Collaborating with data scientists and architects on several projects
• Maintaining reliability of the system and being on-call for mission-critical systems
• Performing infrastructure cost analysis and optimization
• Generating architecture recommendations and the ability to implement them
• Designing, building, and maintaining data architecture and warehousing using AWS services.
• ETL optimization, designing, coding, and tuning big data processes using Apache Spark, R, Python, C#, and/or similar technologies.
• Disaster recovery planning and implementation when it comes to ETL and data-related services
• Define actionable KPIs and configure monitoring/alerting

🍒 You will get-

• A chance to build and lead an awesome team working on one of the best recruitment and online trainings products in the world that impact millions of lives for the better
• Awesome colleagues & a great work environment
• Loads of autonomy and freedom in your work

💯 You fit the bill if-

• You have the zeal to build something from scratch
• You have experience in Data engineering and infrastructure work for analytical and machine learning processes.
• You have experience in a Linux environment and familiarity with writing shell scripts using Python or any other scripting language
• You have 3-5 years of experience as a Data Engineer or similar software engineering role

Required Python ,R

work in handling large-scale data engineering pipelines.
Excellent verbal and written communication skills.
Proficient in PowerPoint or other presentation tools.
Ability to work quickly and accurately on multiple projects.

• Adept at Machine learning techniques and algorithms.

Feature selection, dimensionality reduction, building and

• optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Doing ad-hoc analysis and presenting results
• Proficiency in using query languages such as N1QL, SQL

Experience with data visualization tools, such as D3.js, GGplot,

• Plotly, PyPlot, etc.

Creating automated anomaly detection systems and constant tracking

• of its performance
• Strong in Python is a must.
• Strong in Data Analysis and mining is a must
• Deep Learning, Neural Network, CNN, Image Processing (Must)

Building analytic systems - data collection, cleansing and

• integration

Experience with NoSQL databases, such as Couchbase, MongoDB,

Cassandra, HBase

CommerceIQ is Hiring Data Scientist (3-5 yrs)

At CommerceIQ, we are building the world’s most sophisticated E-commerce Channel Optimization software to help brands leverage Machine Learning, Analytics and Automation to grow their E-commerce business on all channels, globally.

Using CommerceIQ as a single source of truth, customers have driven 40% increase in incremental sales, 20% improvement in profitability and 32% reduction in out of stock rates on Amazon.

What You’ll Be Doing

As a Senior Data Scientist, you will work closely with Engineering/Product/Operations teams to build state-of-the-art ML based solutions for B2B SaaS products. This entails not only leveraging advanced techniques for predictions, time-series forecasting, topic modelling, optimisation but deep understanding of business and product too.

• Apply excellent problem solving skills to deconstruct and formulate solutions from first-principles

• Work on data science roadmap and build the core engine of our flagship CommerceIQ product

• Collaborate with product and engineering to design product strategy, identify key metrics to drive and support with proof of concept

• Perform rapid prototyping of experimental solutions and develop robust, sustainable and scalable production systems

• Work with large scale ecommerce data of the biggest brands on amazon

• Apply out-of-the-box, advanced algorithms to complex problems in real-time systems

• Drive productization of techniques to be made available to a wide range of customers

• You would be working with and mentoring fellow team members on the owned charter

What we are looking for -

• Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 4+ years of experience in solving data science problems that have driven value to customers

• Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage

• Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required

• Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage

• Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects

• Experience with building ML data products in an engineering organization interfacing with other teams and departments to deliver impact

• We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them.
• Data scientist, Machine Learning, data science, data analyst

Job Type: Full-time

Experience:

• Data Scientist: 3 years (Required)

Application Question:

• Looking for product based industry experience from tier 1 /tier 2 colleges (NIT ,BIT, IIT,IIIT, BITS, Strong Profiles)

Top MNC looking for candidates on Business Analytics(4-8 Years Experience).

Requirement :

- Experience in metric development & Business analytics

- High Data Skill Proficiency/Statistical Skills

- Tools: R, SQL, Python, Advanced Excel

- Good verbal/communication Skills 

- Supply Chain domain knowledge

*Job Summary*

Duration: 6months contract based at Hyderabad

Availability: 1 week/Immediate

Qualification: Graduate/PG from Reputed University

*Key Skills*

R, SQL, Advanced Excel, Python

*Required Experience and Qualifications*

5 to 8 years of Business Analytics experience.