Data Architect

Primary Skills

DynamoDB, Java, Kafka, Spark, Amazon Redshift, AWS Lake Formation, AWS Glue, Python

Skills:

Good work experience showing growth as a Data Engineer.

Hands On programming experience

Implementation Experience on Kafka, Kinesis, Spark, AWS Glue, AWS Lake Formation.

Excellent knowledge in: Python, Scala/Java, Spark, AWS (Lambda, Step Functions, Dynamodb, EMR), Terraform, UI (Angular), Git, Mavena

Experience of performance optimization in Batch and Real time processing applications

Expertise in Data Governance and Data Security Implementation

Good hands-on design and programming skills building reusable tools and products Experience developing in AWS or similar cloud platforms. Preferred:, ECS, EKS, S3, EMR, DynamoDB, Aurora, Redshift, Quick Sight or similar.

Familiarity with systems with very high volume of transactions, micro service design, or data processing pipelines (Spark).

Knowledge and hands-on experience with server less technologies such as Lambda, MSK, MWAA, Kinesis Analytics a plus.

Expertise in practices like Agile, Peer reviews, Continuous Integration

Roles and responsibilities:

Determining project requirements and developing work schedules for the team.

Delegating tasks and achieving daily, weekly, and monthly goals.

Responsible for designing, building, testing, and deploying the software releases.

Salary: 25LPA-40LPA

Title:- Data Scientist

Experience:-6 years

Work Mode:- Onsite

Primary Skills:- Data Science, SQL, Python, Data Modelling, Azure, AWS, Banking Domain (BFSI/NBFC)

Qualification:- Any

Roles & Responsibilities:-

1.  Acquiring, cleaning, and preprocessing raw data for analysis.

2.  Utilizing statistical methods and tools for analyzing and interpreting complex  datasets.

3.  Developing and implementing machine learning models for predictive analysis.

4.  Creating visualizations to effectively communicate insights to both technical and   non-technical stakeholders.

5.  Collaborating with cross-functional teams, including data engineers, business   analysts, and domain experts.

6.  Evaluating and optimizing the performance of machine learning models for   accuracy and efficiency.

7.  Identifying patterns and trends within data to inform business decision-making.

8.  Staying updated on the latest advancements in data science, machine learning, and  relevant technologies.

Requirement:- 

1.  Experience with modeling techniques such as Linear Regression, clustering, and classification techniques.

2.  Must have a passion for data, structured or unstructured.  0.6 – 5 years of hands-on experience with Python and SQL is a must.

3.   Should have sound experience in data mining, data analysis and machine learning techniques.

4.  Excellent critical thinking, verbal and written communications skills.

5.  Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

6.   Good presentation skills.

About Kloud9:

Kloud9 exists with the sole purpose of providing cloud expertise to the retail industry. Our team of cloud architects, engineers and developers help retailers launch a successful cloud initiative so you can quickly realise the benefits of cloud technology. Our standardised, proven cloud adoption methodologies reduce the cloud adoption time and effort so you can directly benefit from lower migration costs.

Kloud9 was founded with the vision of bridging the gap between E-commerce and cloud. The E-commerce of any industry is limiting and poses a huge challenge in terms of the finances spent on physical data structures.

At Kloud9, we know migrating to the cloud is the single most significant technology shift your company faces today. We are your trusted advisors in transformation and are determined to build a deep partnership along the way. Our cloud and retail experts will ease your transition to the cloud.

Our sole focus is to provide cloud expertise to retail industry giving our clients the empowerment that will take their business to the next level. Our team of proficient architects, engineers and developers have been designing, building and implementing solutions for retailers for an average of more than 20 years.

We are a cloud vendor that is both platform and technology independent. Our vendor independence not just provides us with a unique perspective into the cloud market but also ensures that we deliver the cloud solutions available that best meet our clients' requirements.

Responsibilities:

●       Studying, transforming, and converting data science prototypes

●       Deploying models to production

●       Training and retraining models as needed

●       Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores

●       Analyzing the errors of the model and designing strategies to overcome them

●       Identifying differences in data distribution that could affect model performance in real-world situations

●       Performing statistical analysis and using results to improve models

●       Supervising the data acquisition process if more data is needed

●       Defining data augmentation pipelines

●       Defining the pre-processing or feature engineering to be done on a given dataset

●       To extend and enrich existing ML frameworks and libraries

●       Understanding when the findings can be applied to business decisions

●       Documenting machine learning processes

Basic requirements: 

●       4+ years of IT experience in which at least 2+ years of relevant experience primarily in converting data science prototypes and deploying models to production

●       Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas

●       Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc

●       Experience in working with ML frameworks like TensorFlow, Keras, OpenCV

●       Strong written and verbal communications

●       Excellent interpersonal and collaboration skills.

●       Expertise in visualizing and manipulating big datasets

●       Familiarity with Linux

●       Ability to select hardware to run an ML model with the required latency

●       Robust data modelling and data architecture skills.

●       Advanced degree in Computer Science/Math/Statistics or a related discipline.

●       Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)

Nice to have

●       Familiarity with Java, and R code writing.

●       Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

●       Verifying data quality, and/or ensuring it via data cleaning

●       Supervising the data acquisition process if more data is needed

●       Finding available datasets online that could be used for training

Why Explore a Career at Kloud9:

With job opportunities in prime locations of US, London, Poland and Bengaluru, we help build your career paths in cutting edge technologies of AI, Machine Learning and Data Science. Be part of an inclusive and diverse workforce that's changing the face of retail technology with their creativity and innovative solutions. Our vested interest in our employees translates to deliver the best products and solutions to our customers.

• The incumbent should have hands on experience in data engineering and GCP data technologies.

• Should Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.

• Should Work with Agile and DevOps techniques and implementation approaches in the delivery.

• Showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.

• Build and deliver Data solutions using GCP products and offerings.
• Have hands on Experience on Python 
Experience on SQL or MySQL. Experience on Looker is an added advantage.

We are establishing infrastructure for internal and external reporting using Tableau and are looking for someone with experience building visualizations and dashboards in Tableau and using Tableau Server to deliver them to internal and external users. 

Required Experience 

• Implementation of interactive visualizations using Tableau Desktop  
• Integration with Tableau Server and support of production dashboards and embedded reports with it 

• Writing and optimization of SQL queries  
• Proficient in Python including the use of Pandas and numpy libraries to perform data exploration and analysis 
• 3  years of experience working as a Software Engineer / Senior Software Engineer 
• Bachelors in Engineering – can be Electronic and comm , Computer , IT  
• Well versed with Basic Data Structures Algorithms and system design 

• Should be capable of working well in a team – and should possess very good communication skills 
• Self-motivated and fun to work with and organized 
• Productive and efficient working remotely 
• Test driven mindset with a knack for finding issues and problems at earlier stages of development 
• Interest in learning and picking up a wide range of cutting edge technologies 

• Should be curious and interested in learning some Data science related concepts and domain knowledge 
• Work alongside other engineers on the team to elevate technology and consistently apply best practices 

Highly Desirable 

• Data Analytics 

• Experience in AWS cloud or any cloud technologies 
• Experience in BigData technologies and streaming like – pyspark, kafka is a big plus 
• Shell scripting  
• Preferred tech stack – Python, Rest API, Microservices, Flask/Fast API, pandas, numpy, linux, shell scripting, Airflow, pyspark 
• Has a strong backend experience – and worked with Microservices and Rest API’s - Flask, FastAPI, Databases Relational and Non-relational