Data Engineer AWS+ Snowflake, Hive, Spark || Beaverton, OR || Contract

Greetings,

We have the below requirement with our Client. Kindly go through the JD below and let me know your interest.

Position: Data Engineer – AWS+ Snowflake, Hive, Spark

Location: Beaverton, OR (On-site)

Duration: 12+ Months

Need 10+ years’ experience.

Need H1b candidates only (Passport Number Must for Submission)

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Job Description:

Responsibilities: (The primary tasks, functions, and deliverables of the role)

Design and build reusable components, frameworks, and libraries at scale to support analytics products.
Design and implement product features in collaboration with business and Technology stakeholders.
Identify and solve issues concerning data management to improve data quality.
Clean, prepare and optimize data for ingestion and consumption.
Collaborate on the implementation of new data management projects and re-structure of the current data architecture.
Implement automated workflows and routines using workflow scheduling tools.
Build continuous integration, test-driven development, and production deployment frameworks.
Analyze and profile data for designing scalable solutions.
Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues.

Requirements:

Strong understanding of data structures and algorithms
Strong understanding of solution and technical design
Has a strong problem solving and analytical mindset?
Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
Able to quickly pick up new programming languages, technologies, and frameworks.
Experience building cloud scalable, real time and high-performance data lake solutions.
Fair understanding of developing complex data solutions
Experience working on end-to-end solution design.
Willing to learn new skills and technologies.
Has a passion for data solutions.

Required and Preferred Skill Sets:

Hands on experience in AWS – EMR [Hive, Pyspark], S3, Athena or any other equivalent cloud
Familiarity with Spark Structured Streaming
Minimum experience working experience with Hadoop stack dealing huge volumes of data in a scalable fashion.
hands-on experience with SQL, ETL, data transformation and analytics functions
hands-on Python experience including Batch scripting, data manipulation, distributable packages.
Experience working with batch orchestration tools such as Apache Airflow or equivalent, preferable Airflow.
Working with code versioning tools such as GitHub or BitBucket; expert level understanding of repo design and best practices
Familiarity with deployment automation tools such as Jenkins
Hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, data quality; hand on experience with API development.
Designing and developing relational database objects; knowledgeable on logical and physical data modelling concepts; some experience with Snowflake
Familiarity with Tableau or Cognos use cases
Familiarity with Agile; working experience preferred.