Data Engineering Services

When you work with Bearsoft’s pool of data engineering talent you will receive the production readiness of data science’s solutions along with the support to manage any workload, process, requirement and any diversity issues that may arise. Our main focus calls for constant scaling, security, performance tracking and evaluation in real time processing; promoting practices that lead to better coordination and higher productivity.

Real Time Data Stream

Real Time event streaming design, processing architectures and solutions to leverage data as a continually updating flow of events and not only as static snapshots. ... Knowledgeable in tools such as Confluent Apache Kafka, KSQL, Kafka Connect, and other major Kafka components.

Data Pipeline

Design and data pipeline implementation, workflow management architecture and solutions.... Strong analytic skills related with unstructured datasets. Knowledgeable in stream-processing systems like Spark-Streaming, Confluent Apache Kafka. Well versed in AWS cloud services such as EC2, EMR, RDS, Redshift.

Search

Building, designing and implementing software is a huge challenge. You need to think about ... the architecture, the cloud performance monitoring, pattern design, logging, telemetry, testing automation data management, containers, diverse programming languages, technology stacks and frameworks among others; as well as the development team soft skills. At Bearsoft we are fully committed to make this process remarkably simple and easy for our customers.Our proven staff augmentation expertise and highly experienced services give you access to a wide spectrum of experienced/skilled software developers and capabilities who can quickly integrate with your team, assisting and supporting all your needs.

Machine Learning

Develop highly scalable classifiers by leveraging machine learning, data regression and ruled based models, unlocking new possibilities for every industry. ... We suggest, collect, validate and synthesize requirements, using latest tools and technologies,creating a feature roadmap and applying master software development skills to a range of ML-related coding projects. Adapting standard machine learning methods to best achieve modern parallel environments such as distributed clusters and GPUs. Skilled in Python, PHP and shell scripts, frameworks such as Tensorflow, Keras, Pandas, Scikit-Learn and Numpy. Develop highly scalable classifiers by leveraging machine learning, data regression and ruled based models, unlocking new possibilities for every industry. We suggest, collect, validate and synthesize requirements, using latest tools and technologies,creating a feature roadmap and applying master software development skills to a range of ML-related coding projects. Adapting standard machine learning methods to best achieve modern parallel environments such as distributed clusters and GPUs. Skilled in Python, PHP and shell scripts, frameworks such as Tensorflow, Keras, Pandas, Scikit-Learn and Numpy.

Natural Language Processing

Design natural language processing centric architectures and solutions.... Knowledgeable in applying software engineering to NLP centric architectures as a means to leverage distributed clusters. Well versed in NLP frameworks such as Pytorch and indexing platforms such as Elastic Search.

Big Data Storage

Design and architectural solutions for managing Data at Rest. Well versed built architectures for OLTP, OLAP and Real Time workloads.... Advanced knowledge of SQL and noSQL databases; strong analytical skills, scalability and performance, consistency, availability, security and privacy; related to unstructured datasets and data management tools such as Apache Atlas, Avro, Schema-Registry along with leading secure data access with other tools such as Apache Ranger to enjoy the high accuracy of predictions.

Big Data Processing

Industrial experienced data engineers, managed data-intensive projects such as in the Hadoop ecosystem, Spark, Confluent Apache Kafka, Airflow. ... Cutting edge technologies to tackle Big Data and well skilled with AWS, Azure and Google Cloud services such as AWS Glue, AWS Kinesis, S3, Redshift and BigQuery. Concerning development capabilities, primarily in Python and other frameworks for data wrangling, data cleaning and ETL processing.

Data Analytics

Working along with data scientists to design large-scale data analytics systems and to maximize the analytics potential.... Design Data Management architectures and solutions to turn data into actionable insights and create an improvement roadmap. Well experienced in tools such as Apache Atlas, Avro, Apache Ranger.

Customers