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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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Power Platform Developer - (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 Power Platform Developer in the United States.

We are seeking an experienced Power Platform Developer to design, build, and implement scalable business solutions using Power BI, Power Apps, and Power Automate. This role involves integrating Microsoft 365, SharePoint, SQL, and external APIs to support business objectives and process automation. You will collaborate closely with business analysts and data engineers to create impactful dashboards, streamline operations, and enhance end-user experiences. The ideal candidate is solution-oriented, agile in mindset, and thrives in a collaborative environment.

Accountabilities:

Job Skills

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Manager/Senior Manager - Data Science (Pharma & Life sciences)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm that partners with some of the largest global organizations to turn data into actionable insights. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

If you are passionate about leveraging data science to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics.

Job Skills

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Senior Data Steward Manager

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 have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Senior Data Steward Manager to join our team. In this role, you will be responsible for overseeing the management and governance of data assets within the organization. You will work closely with cross-functional teams to ensure data quality, compliance, and privacy.

Requirements

• Preference will be given to candidates located in the Plano, TX or Purchase, NY area and are able to be in office on a hybrid schedule

• Support the global Integrated Business Planning (IBP) program to identify and validate data sources to fulfill IBP requirements.

• Identify data sources and partner with business and tech teams to address gaps; check that joining of different data sources generates a meaningful final dataset for a particular use case.

• Perform trend and/or pattern analysis

• Support source to target mapping (STTM)

• Conduct business-facing, data quality rule definition and capture

• Complete data cataloging for assigned assets while adhering to global governance standards

Job Skills

data centric datasets leadership arbitrate governance policies target matrix management validation data flow data management data ingest data informatica business requirement management mapping forecast supervision optimized design dataset governance data quality business logic validating state processes consultants business acumen operational translate EDC integrate business planning manager analytical subject matter career development initiatives digital data source experience researching master data best practices communication skills analytics schedule source datum business planning case cross functional teams consumer package good data stewards advise stewardship data science market research validate data data sources consulting verbal communication skill data governance data steward use cases purchase machine learning source profiling data elements transactional data validations applicable data process data coordinate pattern analysis prioritize data network self starter
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