Data engineer Jobs in Anaheim, CA

Description :

IMPORTANT : Suppliers should not submit workers whose physical residence is within the following states due to Intuitive tax and operating entity structure :

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Please interpret this as Intuitive policy to which all suppliers are required to comply.

• Important Notes to supplier :

Subvending not allowed Worker need to be on your direct W2.

Need to do a properpre technical screening.

Need to have recruiter screening summary on top of resume.

Including Skill matrix and Writeup from worker on these skills is a plus.

All past projects should have Durations and locations.

Current location must be mentioned on the resume.

Actual Title of the role : Data Engineer

Duration : 6 Months

Contract / possibility for conversions : NA

Max billBR / hr.

Onsite / Hybrid / Remote : Hybrid

Only Locals / Nonlocals can be submitted : Locals

Mode of interview : Zoom

No of rounds of interview : 2

New JP or Backfill position New position

Job Description : Data Engineer

We are seeking a skilled Data Application Engineer to design build and maintain datadriven applications and pipelines that enable seamless data integration transformation and delivery across systems. The ideal candidate will have a strong foundation in software engineering database technologies and cloud data platforms with a focus on building scalable robust and efficient data applications.

Key Responsibilities :

Develop Data Applications : Build and maintain datacentric applications tools and APIs to enable realtime and batch data processing.

Data Integration : Design and implement data ingestion pipelines integrating data from various sources such as databases APIs and file systems.

Data Transformation : Create reusable ETL / ELT pipelines to process and transform raw data into consumable formats using tools like Snowflake DBT or Python.

Collaboration : Work closely with analysts and stakeholders to understand requirements and translate them into scalable solutions.

Documentation : Maintain comprehensive documentation for data applications workflows and processes.

Required Skills and Qualifications :

Education : Bachelor s degree in Computer Science Engineering or a related field (or equivalent experience).

Programming : Proficiency in programming languages Python C# ASP.NET (Core)

Databases : Strong understanding of SQL database design and experience with relational (e.g. Snowflake SQL Server) databases

Data Tools : Handson experience with ETL / ELT tools and frameworks such as Apache Airflow (DBT Nice to Have)

Cloud Platforms : Familiarity with cloud platforms such as AWS Azure or Google Cloud and their data services (e.g. S3 AWS Lambda etc.).

Data Pipelines : Experience with realtime data processing tools (e.g. Kafka Spark) and batch data processing.

APIs : Experience designing and integrating RESTful APIs for data access and application communication.

Version Control : Knowledge of version control systems like Git for code management.

ProblemSolving : Strong analytical and problemsolving skills with the ability to troubleshoot complex data issues.

Preferred Skills :

Knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.

Experience with BI tools like Tableau Power BI or Looker.

Soft Skills :

Excellent communication and collaboration skills to work effectively in crossfunctional teams.

Ability to prioritize tasks and manage projects in a fastpaced environment.

Strong attention to detail and commitment to delivering highquality results.

Job Posting Type

Additional Details

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Vacancy : 1