Data Engineer c2c jobs in USA State client hiring on Corp to corp Roles
ETL Data Engineer
Location: San Antonio, TX_Onsite
Job Description:
Collaborate, produce, consult, and advise to enable teams to make data driven decisions that inform contact center strategy
Grasp the nature of the problem/need and determine an analytical approach
Apply basic descriptive statistics and advanced statistical techniques
Apply knowledge of diverse programming skills (SQL, Python, ETL/ELT, Java, etc.)
Apply knowledge of platforms (e.g. datastage, Control M, Jupyter Notebooks, Snowflake, DBT (data build tool), etc.)
Apply knowledge of stream processing (e.g. Kafka, Kinesis, etc.) (for emitting data out – nice to have)
Apply qualitative/categorical analytics
Identify and apply validation techniques before delivering insights
Apply knowledge of diverse data applications and data visualization tools and techniques (e.g. Tableau, Streamlit, Lumira, etc.)
Apply knowledge of data sets, data sharing guidelines and environments
Apply knowledge of terminology, business rules, financial impacts, market results, and metrics/KPIs.
Apply knowledge of USAA and CoSA strategy, operation, products, and stakeholders
Communicate succinctly, clear and with impact, recognizing when insights are full vetted and truly ready for delivery
Tell a story, including presenting information in a visually striking manner
Must have at least three years of independent experience in core knowledge and skills
Principal Data Engineer
Location: Santa Clara, CA (Onsite 5 days/week)
Duration: 6+ Months Contract (Chances to extend)
Job Description:
Duties:
As a Principal Big Data Engineer, you will be an integral member of our data ingestion and processing platform team responsible for architecture, design and development. Having the dynamic ability to adapt to conventional big-data frameworks and tools with the use-cases required by the project Ability to communicate with research and development teams and data scientists, finding bottlenecks and resolving them Design and implement different architectural models for our scalable data processing, as well as scalable data storage Build tools for proper data ingestion from multiple heterogeneous sources
Skills:
- 3+ years of experience in design and implementation in an environment with hundreds of terabytes of data.
- 3+ years of experience with large data processing tools such as: Dataflow, GKE, BQ, Beam.
- 3+ years of experience with Java.
- Can-do attitude on problem solving, quality and ability to execute.
- Excellent inter-personal and teamwork skills.
Education:
- BS in Computer Science/Engineering, or equivalent 5+ experience.
- MS in Computer Science/ Engineering, or equivalent 3+ experience.
Data Engineer
Location – Newark NJ
Are you ready to build your career by joining a global financial company? If so, our client is hiring a Data Engineer!
What You’ll Do:
Primary Responsibilities:
Data modeling and data warehousing.
Cloud-based data migration.
Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).
Leverage and implement shortcuts across workspaces to aggregate the data between different sources.
Implement the different types of security for lake houses and data warehouses i.e. RLS/CLS/OLS.
Bitbucket / Jenkins / GIT Integration using Azure Repos for the Source Control.
What You Bring:
Required Skills:
10+ years of data engineering experience.
5+ years of experience in building data and analytics platforms focused on Azure data and analytics solutions.
5+ years of programming experience in Python/Pyspark.
Must have experience in Microsoft Fabric and implemented at least 2 major initiatives.
Built multiple semantic models in Fabric leveraging Direct Lake query mode.
Knowledge of data modeling and data warehousing concepts.
Experience with cloud-based data migration.
Database management experience (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).
Leveraged and implemented Shortcuts across workspaces to aggregate the data between different sources.
Implemented the different types of security for lake houses and data warehouses i.e. RLS/CLS/OLS.
ETL tool experience (e.g., SSIS, Azure Data Factory, Power BI Dataflow).
Bitbucket / Jenkins / GIT Integration using Azure Repos for the Source Control.
Experience in Azure services such as:
Azure SQL Database
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake
Notebooks
Senior Data Engineer
Newark, New Jersey
Contract
Our client is hiring a Data Engineer! Must have certifications.
What You’ll Do:
Primary Responsibilities:
Data modeling and data warehousing.
Cloud-based data migration.
Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).
Leverage and implement shortcuts across workspaces to aggregate the data between different sources.
Implement the different types of security for lakehouses and datawarehouses i.e. RLS/CLS/OLS.
Bitbucket / Jenkins / GIT Integration using Azure Repos for the Source Control.
What You Bring:
Required Skills:
10+ years of data engineering experience.
5+ years of experience in building data and analytics platform focused on Azure data and analytics solutions.
5+ years of programming experience in Python/Pyspark.
Must have experience in Microsoft Fabric and implemented at the least 2 major initiatives.
Built multiple semantic models in Fabric leveraging Direct Lake query mode.
Knowledge of data modeling and data warehousing concepts.
Experience with cloud-based data migration.
Database management experience (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse).
Leveraged and implemented Shortcuts across workspaces to aggregate the data between different sources.
Implemented the different types of security for lakehouses and datawarehouses i.e. RLS/CLS/OLS.
ETL tool experience (e.g., SSIS, Azure Data Factory, Power BI Dataflow).
Bitbucket / Jenkins / GIT Integration using Azure Repos for the Source Control.
Experience in Azure services such as:
Azure SQL Database
Azure Data Factory
Azure Synapse Analytics
Azure Data Lake
Notebooks
Preferred Certifications:
MCSE
Azure Data Engineer Associate
Microsoft Fabric Analytics Architect / Engineer Associate
Additional background:
Leadership skill/ Soft skills: Collaborative, team player. Self-starter. Curious about technology.
Agile experience.
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