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Software Engineer II (Python and Data pipelines) - (Remote - US or Canada)

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 Software Engineer II (Ruby on Rails and Data Pipelines) in United States or Canada.

As a Software Engineer II, you will play a pivotal role in designing, building, and optimizing data pipelines to process and enrich metadata for large-scale applications. Working closely with machine learning teams, engineers, and product managers, you'll ensure that our systems are efficient, scalable, and reliable. Your contributions will directly impact the way we process and deliver data, supporting the core functionality of our products. You will also have the opportunity to work with cutting-edge technologies such as Python, Ruby on Rails, AWS, and Databricks, while collaborating with cross-functional teams to innovate and improve the systems that support millions of users.

Accountabilities:

Job Skills

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Data Documentalist / Data Governance - (Remote - Portugal or Spain)

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 Data Documentalist / Data Governance in Portugal or Spain.

In this role, you will be integral to the creation and enhancement of the client's Data Catalog. Your primary focus will be ensuring the completeness and accuracy of the Data Dictionary, Business Glossary, Data Lineage, and other crucial data governance components. You will work closely with various stakeholders to gather technical documentation, analyze data structures, and maintain strong governance practices to ensure compliance and consistency in data management. This is a remote opportunity that allows you to contribute to impactful projects while ensuring data quality and integrity across the organization.

Accountabilities:

Job Skills

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Director, Data Governance & Management - (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 Director, Data Governance & Management in the United States.

In this role, you will be responsible for ensuring that data within the organization's application and analytics platform is trustworthy, reliable, organized, and effectively managed. As the data "conscience" of the company, you will collaborate with cross-functional teams to improve data quality, foster proper data use, and enhance data literacy. Your leadership will play a crucial role in maintaining the integrity of the data that powers key business processes and supports real-time decision-making.

Accountabilities:

Job Skills

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Data Steward

posted by: spj_bot

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

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

We are looking for a Data Steward to deliver insights on a daily basis. The ideal candidate will have Enterprise data governance expertise and will Serve as the primary liaison between the global data governance team and businesses to ensure alignment with Enterprise Data Governance (EDG) processes, rules, and standards

Requirements

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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MLOps Engineer(NJ)

posted by: spj_bot

Tiger Analytics is looking for experienced Machine Learning Engineers 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:

  • ML Engineer with 5-7 years of IT experience.
  • Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
  • Develop Airflow DAGs to run training and scoring pipelines
  • Develop a Testing framework with Pytest
  • Implement monitoring solution with homebrew solution using Lambda and Dash
  • Develop Data Quality solutions potentially leveraging Great Expectations.

Requirements

Job Skills

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Cloud Data Architect

posted by: spj_bot

Tiger Analytics is an 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 deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are one of the highest-rated employers on Glassdoor.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Job Skills

datasets leadership mentorship data warehouse automation data data ul information system data integration data data lakes data engineer frameworks spark on prem GCP resiliency big datum cloud security sql computer science production management data quality load balancers nosql stream processing consultants bigquery management process career development data ingestion manage production python operationalizing data lake cloud azure data engineers best practices storage analytics programming languages flink communication skills kubernetes scala communicate redshift data science market research professional certification consulting accounts devops scrum machine learning metadata snowflake mitigate firewalls scale coordinate improve productivity system administration java transformation agile methodology
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