Snowflake Developer

You will:

• Create highly scalable AWS micro-services utilizing cutting edge cloud technologies.
• Design and develop Big Data pipelines handling huge geospatial data.
• Bring clarity to large complex technical challenges.
• Collaborate with Engineering leadership to help drive technical strategy.
• Project scoping, planning and estimation.
• Mentor and coach team members at different levels of experience.
• Participate in peer code reviews and technical meetings.
• Cultivate a culture of engineering excellence.
• Seek, implement and adhere to standards, frameworks and best practices in the industry.
• Participate in on-call rotation.

You have:

• Bachelor’s/Master’s degree in computer science, computer engineering or relevant field.
• 5+ years of experience in software design, architecture and development.
• 5+ years of experience using object-oriented languages (Java, Python).
• Strong experience with Big Data technologies like Hadoop, Spark, Map Reduce, Kafka, etc.
• Strong experience in working with different AWS technologies.
• Excellent competencies in data structures & algorithms.

Nice to have:

• Proven track record of delivering large scale projects, and an ability to break down large tasks into smaller deliverable chunks
• Experience in developing high throughput low latency backend services
• Affinity to spatial data structures and algorithms.
• Familiarity with Postgres DB, Google Places or Mapbox APIs

Hiring - Python Developer Freelance Consultant (WFH-Remote)

Greetings from Deltacubes Technology!!

 

Skillset Required:

Python

Pyspark

AWS

Scala

 

Experience:

5+ years

 

Thanks

Bavithra

 

Job Title: Data Warehouse/Redshift Admin

Location: Remote

Job Description

AWS Redshift Cluster Planning

AWS Redshift Cluster Maintenance

AWS Redshift Cluster Security

AWS Redshift Cluster monitoring.

Experience managing day to day operations of provisioning, maintaining backups, DR and monitoring of AWS RedShift/RDS clusters

Hands-on experience with Query Tuning in high concurrency environment

Expertise setting up and managing AWS Redshift

AWS certifications Preferred (AWS Certified SysOps Administrator)

Senior Big Data Engineer 

Note:   Notice Period : 45 days 

Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA. 

 

We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure. 

 

It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges. 

 

 

Key Qualifications

 

·   5+ years of experience working with Java and Spring technologies

· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations

· Knowledge of microservices architecture is plus 

· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra

· Experience with Kafka or any streaming tools

· Knowledge of Scala would be preferable

· Experience with agile application development 

· Exposure of any Cloud Technologies including containers and Kubernetes 

· Demonstrated experience of performing DevOps for platforms 

· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity

· Exposure to Graph databases

· Passion for learning new technologies and the ability to do so quickly 

· A Bachelor's degree in a computer-related field or equivalent professional experience is required

 

Key Responsibilities

 

· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture

· Design and develop the big data-focused micro-Services

· Involve in big data infrastructure, distributed systems, data modeling, and query processing

· Build software with cutting-edge technologies on cloud

· Willing to learn new technologies and research-orientated projects 

· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed 

 

What you need to have:

We are a nascent quant hedge fund; we need to stage financial data and make it easy to run and re-run various preprocessing and ML jobs on the data.
- We are looking for an experienced data engineer to join our team.
- The preprocessing involves ETL tasks, using pyspark, AWS Glue, staging data in parquet formats on S3, and Athena

To succeed in this data engineering position, you should care about well-documented, testable code and data integrity. We have devops who can help with AWS permissions.
We would like to build up a consistent data lake with staged, ready-to-use data, and to build up various scripts that will serve as blueprints for various additional data ingestion and transforms.

If you enjoy setting up something which many others will rely on, and have the relevant ETL expertise, we’d like to work with you.

Responsibilities
- Analyze and organize raw data
- Build data pipelines
- Prepare data for predictive modeling
- Explore ways to enhance data quality and reliability
- Potentially, collaborate with data scientists to support various experiments

Requirements
- Previous experience as a data engineer with the above technologies

Responsibilities:

• 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.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.

It is one of the largest communication technology companies in the world. They operate America's largest 4G LTE wireless network and the nation's premiere all-fiber broadband network.

freshers of Bigdata, Data scientist, Computer vision of their skills

At Daddyswallet, we’re using today’s technology to bring significant disruptive innovation to the financial industry. We focus on improving the lives of consumers by delivering simple, honest and transparent financial products.Looking for Fullstack developer having skills mainly in React native,react js.python.node js.