Azure Data Engineer
posted by: spj_bot
As an Azure Data Engineer you can expect to…
Senior Machine Learning Engineer (GCP)
posted by: spj_bot
Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.
Key Responsibilities:
Job Skills
numpy
code testing
dataflow
developing distributed
system design
scalable
integration
functional programming
GCP
cloud architecture
VPC
designs end
design build
distributed systems
fault tolerance
OOP
feature engineering
IAM
governance
integrates
flask
bigquery
graph
libraries
pytorch
restful apis
career development
operationalizing
data ingestion
python
microservices
google cloud platform
collaborate
reproducible
data engineers
reliable
best practices
analytics
workflows
tensorflow
pyspark
pandas
scikit learn
innovative
google cloud
performance optimization
API
scalability
real time
cloud storage
machine learning
logging
document architecture
integrate
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Senior Data Scientist - Semi Conductor
posted by: spj_bot
Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Responsibilities
Job Skills
color
numpy
leadership
data mining
databricks
prototype
scipy
data
github
supervision
maintainability
sql
optimize mathematical
cross functional collaboration
consultants
translate
information retrieval
analytical
analytical skill
pytorch
production level
career development
python
enterprise platforms
collaborate
communicate
tensorflow
analytics
pyspark
scikit learn
cross functional teams
innovative
data science
market research
consulting
scalability
manage code
mathematical optimization
machine learning
disability
complex problems
business partner
sprint planning
mathematical programming
enterprise environments
develop test
self starter
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Data Engineer - Snowflake
posted by: spj_bot
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.
Requirements
Key Responsibilities:
Data Integration:
Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools.
Support Data Modeling:
Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting requirements.
Job Skills
data models
color
data model
control system
leadership
data warehouse
datasets
data integration
manage data
version control
data engineer
self service
integration
quality data
data synchronization
automate
design build
data transformation data
data modeling
communication
transforming data
management
track
sql
data pipeline
detail orient
dashboards
managing data
database query
collaboration tool
consultants
cdc
airflow
analytical skill
data engineering
solve complex problems
career development
positive
python
data ingestion
teamwork
data processing
collaborate
data lake
data transformation
best practices
analytics
workflows
collaboration
pyspark
database design
programming advanced
technical documentation
oracle database
data science
market research
scripting
git
consulting
analytic skills
raw datum
disability
machine learning
build process
ETL
snowflake
infrastructure
metadata
scale
data warehousing
data structure
data pipelines
relational database
cloud infrastructure
databricks
data sets
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Data Engineer - AWS
posted by: spj_bot
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
As an AWS Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines on AWS cloud infrastructure. You will work closely with cross-functional teams to support data analytics, machine learning, and business intelligence initiatives. The ideal candidate will have strong experience with AWS services, Databricks, and Snowflake.
Key Responsibilities:
Job Skills
color
control system
leadership
apache airflow
reliability
data data
aws glue
data
version control
data engineer
scalable
automate
data modeling
aws services
apache spark
aws lambda
data pipeline
sql
cloud native
consultants
scheduling
problem solve
career development
data processing
collaborate
communication skills
analytics
amazon redshift
workflows
pyspark
database design
cross functional teams
business intelligence
data science
market research
designing building
git
consulting
disability
machine learning
snowflake
scale
e
data pipelines
amazon s3
transformation
cloud infrastructure
databricks
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Sr. Software Engineer - Reference Data (Remote - US)
posted by: spj_bot
About Jobgether
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
One of our companies is currently looking for a Sr. Software Engineer – Reference Data in the United States.
This role centers around building and optimizing scalable data infrastructure for high-impact financial products. As a Senior Software Engineer on the Reference Data team, you will work cross-functionally to develop solutions that reconcile, curate, and align public and alternative investment data. You will contribute to the design and implementation of key platform capabilities that deliver accurate, actionable insights for investment portfolios. This role requires a strong background in data architecture, distributed systems, and a hands-on approach to solving complex engineering challenges.
Accountabilities:
Job Skills
analytical skill
solving complex
python
data infrastructure
microservices
distributed systems
containerized
mobility
data systems
high performance
problem solving
java
senior engineer
large scale systems
data
data integrity
reliable
work environment
best practices
kubernetes
maintainability
cloud native infrastructure
nosql
terraform
equity
software engineer
professional
scalability
optimizing data
software engineering
strategic technology
big datum
cloud platforms
investment portfolios
retirement plan
cross functional teams
e
collaborate
data platform
pyspark
infrastructure as code
scalable
alternative investment
reference datum
scale
computer science
friendly
data lake
databases sql
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Gen AI Data Engineer
posted by: spj_bot
Tiger Analytics is looking for experienced Machine Learning Engineers with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:
Technical Skills Required:
Programming Languages: Proficiency in Python, SQL, and PySpark.
Data Warehousing: Experience with Snowflake, NOSQL and Neo4j.
Data Pipelines: Proficiency with Apache Airflow.
Cloud Platforms: Familiarity with AWS (S3, RDS, Lambda, AWS batch, SageMaker processing Job, CloudFormation, etc.) or GCP (Vertex AI RAG, Data pipeline, Bigquery, GKE)
Operating Systems: Experience with Linux.
Batch/Realtime Pipelines: Experience in building and deploying various pipelines.
Version Control: Experience with GitHub.
Development Tools: Proficiency with VS Code.
Job Skills
adaptability
monitor system
cloud platforms
operating system
GCP
persistence
communication
buckets
image
data pipeline
dashboards
data system
bigquery
cloud technology
python
integrating
higher level
best practices
communication skills
docker
pyspark
system performance
linux
real time
graphs
iterate
lambda aws
e
apache airflow
disaster recovery
ontologies
scalable
knowledge graph
sql
data formats
information retrieval
airflow
problem solve
career development
kubernetes
opensearch
data science
devops
transformation
programming languages
track
indexing
leadership
graph algorithm
reliability
automation
managing
development tools
integration
adapt
managing data
audio video
data infrastructure
nosql
elasticsearch
business continuity planning
aws batch
search technology
business continuity
collaboration
workflows
machine learn
data warehouses
neo4j
data warehousing
presentation
data management
version control
github
big datum
GKE
data visualization
analytical
data engineering
positive
algorithms
curating
analytics
collecting data
sagemaker
cloudformation
market research
infrastructure as code
graph database
consulting
unstructured data
scalability
data sources
experimentation
collaborative
infrastructure
snowflake
containerization
scale
continuous integration
datum curation
data pipelines
relational database
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Lead Data Engineer
posted by: spj_bot
Tiger Analytics is the largest AI and advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring depth in the industry and deep expertise in Data Science, Data Engineering, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. We also have a presence in Europe, Singapore and LATAM markets.
Requirements
- 8+ years of overall industry experience specifically in data engineering
- Strong knowledge of data engineering principles, data integration, and data warehousing concepts
- Very Strong technical developer ( Pyspark, Python, DBX, Azure DE stack (ADF, Logic apps, devOps – CI/CD)).
- Preferably Databricks or Microsoft certified Engineer (advanced level certifications)
- Hands on person, should be able to write code as he needs to work on complex user stories
Architecture
- Very good at understanding and has ability to implement published common data architecture patterns in Azure.
Tech Leadership
Job Skills
leadership
data data
ul
data integration
data patterns
mitigation
global delivery
microsoft certified engineer
write
business risks
data engineering
career development
python
analytics
programming
pyspark
silicon
market research
consulting
devops
certified engineer advanced
machine learning
scrum
logic apps
data warehousing
plans
user story
prioritize
databricks
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Data Engineer - Snowflake
posted by: spj_bot
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.
Requirements
Job Skills
data models
color
datasets
leadership
self service
data engineer
data transformation data
databrick
transforming data
management
sql
dashboards
database query
consultants
data engineering
career development
positive
python
data processing
data transformation
data lake
analytics
pyspark
database design
cross functional teams
data science
market research
analytic skills
consulting
disability
machine learning
build process
ETL
snowflake
metadata
scale
data structure
data pipelines
relational database
data sets
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Data Engineer - Azure (Scala/Kafka)
posted by: spj_bot
Description
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are expanding our Data Engineering practice and looking for Sr. Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.
This is a remote role for applicants based in USA.
Requirements