Data Engineer

SRS Consulting Inc

San Jose, CA, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Airflow Amazon Web Services Microsoft Azure BigQuery Cloud Computing Data Architecture Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Warehousing

+17 more

Python (Programming Language) Oracle SQL Developer Cloud Services Software Engineering SQL Databases Google Cloud Cloud Platform System Sql Optimization Snowflake Database Performance Information Technology Star Schema Apache Kafka Data Management Physical Data Models Data Pipelines Databricks

Job description

We are seeking an experienced Data Engineer with strong expertise in data architecture, data engineering, cloud platforms, and modern data warehousing solutions. The ideal candidate will be responsible for designing scalable data platforms, building ETL/ELT pipelines, developing data models, and supporting enterprise analytics initiatives., * Design and implement enterprise data architecture and data integration solutions.

Develop and maintain scalable ETL/ELT pipelines and data workflows.
Create conceptual, logical, and physical data models (Star/Snowflake Schemas).
Build and optimize data warehouse and lakehouse solutions.
Establish data governance, security, and data quality standards.
Collaborate with business stakeholders to translate requirements into technical solutions.
Optimize SQL queries, database performance, and cloud-based data platforms.

Requirements

Snowflake and Oracle SQL
Advanced SQL and Database Management
Python, Java, or Scala
Data Modeling and Data Architecture
ETL/ELT Development
AWS, Azure, or Google Cloud Platform
Snowflake, Databricks, or BigQuery
Apache Airflow, Kafka, and dbt
Data Governance and Data Quality Frameworks, * Bachelor’s degree in Computer Science, Engineering, or a related field.
8 10+ years of experience in Data Engineering, Data Architecture, or Software Engineering.
Strong hands-on experience with cloud data platforms and modern data warehousing technologies.
Excellent analytical, problem-solving, and communication skills.