A leading data solutions firm is seeking an experienced Data Engineer to provide technical expertise in data modeling and architecture. The role involves translating business needs into data models and optimizing data performance. Candidates should have over 10 years of experience, with strong skills in Spark, Scala, and Python, alongside knowledge of AWS services. This position is a full-time opportunity based in Fremont, CA, with a hybrid work model.
Qualifications
10+ Years of experience as a Data Engineer.
Strong expertise in ETL processes and various data modeling concepts.
Good understanding of star schema and snowflake schema.
Responsibilities
Understand and translate business needs into data models supporting long-term solutions.
Analyze data-related system integration challenges and propose solutions.
Assist with setting the data architecture direction.
Skills
Spark
Scala
Python
ETL processes
Data modeling
Tools
AWS S3
AWS Glue
Big Data Tools
Job description
Location: Fremont, CA(3 days onsite, 2 days work from home)
Duration: Full Time
Job Description:
Candidate should Provide technical expertise in needs identification, data modelling, data movement, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively
10+ Years of experience as a Data Engineer
Strong technical expertise in Spark and Scala is must
Strong experience with Python
Strong expertise in ETL process and with various data model concepts
Knowledge of star schema and a snowflake schema
Good to have knowledge on AWS services such as S3, Athena, Glue, EMR/Spark with major emphasis on S3 and Glue
Experience with Big Data Tools and technologies
Key Skills:
Strong technical expertise in Spark and Scala is must
Good Understanding of data structures and data analysis using Python
Responsibilities:
Understand and translate business needs into data models supporting longterm solutions.
Analyze data-related system integration challenges and propose appropriate solutions.
Assist with and support setting the data architecture direction (including data movement approach, architecture / technology strategy, and any other data-related considerations to ensure business value).