Data Management - Data Warehouse Architect III

Max Rate - BR per hr

Hybrid

Location - Beaverton Oregon (Zip - 97204)

Inviting applications for the role of Lead Consultant- Data Engineer

In this role, you will be responsible for coding, testing and delivering high quality deliverables, and should be willing to learn new technologies.

Responsibilities

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

Qualifications we seek in you!

Minimum Qualifications

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

Preferred Qualifications / Skills

Hands on experience in Databricks and AWS - EMR [Hive, Pyspark], S3, Athena.

Familiarity with Spark Structured Streaming

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