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artechllc.com

Sr. Databricks Data Engineer

artechllc.com, Portland, Oregon, United States, 97204

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Location:

Portland, OR (Local or Willing to relocate) Job Description: We are seeking a highly skilled

Databricks Data Engineer

with a minimum of 10 years of total experience, including strong expertise in the

retail industry . The ideal candidate will be responsible for designing, developing, and optimizing data pipelines and architectures to support advanced analytics and business intelligence initiatives. This role requires proficiency in

Python, SQL, cloud platforms, and ETL tools

within a retail-focused data ecosystem. Key Responsibilities: Design, develop, and maintain scalable

data pipelines

using

Databricks and Snowflake . Work with

Python libraries

such as Pandas, NumPy, PySpark, PyOdbc, PyMsSQL, Requests, Boto3, SimpleSalesforce, and JSON for efficient data processing. Optimize and enhance

SQL queries, stored procedures, triggers, and schema designs

for

RDBMS (MSSQL/MySQL) and NoSQL (DynamoDB/MongoDB/Redis)

databases. Develop and manage

REST APIs

to integrate various data sources and applications. Implement

AWS cloud solutions

using AWS Data Exchange, Athena, Cloud Formation, Lambda, S3, AWS Console, IAM, STS, EC2, and EMR. Utilize

ETL tools

such as Apache Airflow, AWS Glue, Azure Data Factory, Talend, and Alteryx to orchestrate and automate data workflows. Work with

Hadoop and Hive

for big data processing and analysis. Collaborate with cross-functional teams to understand business needs and develop

efficient data solutions

that drive decision-making in the

retail domain . Ensure

data quality, governance, and security

across all data assets and pipelines. Required Qualifications: 10+ years

of total experience in data engineering and data processing. 6+ years

of hands-on experience in

Python programming , specifically for data processing and analytics. 4+ years

of experience working with

Databricks and Snowflake . 4+ years

of expertise in

SQL development, performance tuning, and RDBMS/NoSQL databases . 4+ years

of experience in designing and managing

REST APIs . 2+ years

of working experience in

AWS data services . 2+ years

of hands-on experience with

ETL tools

like Apache Airflow, AWS Glue, Azure Data Factory, Talend, or Alteryx. 1+ year

experience with

Hadoop and Hive . Strong understanding of

retail industry data needs

and best practices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications: Experience with

real-time data processing and streaming technologies . Familiarity with

machine learning and AI-driven analytics . Certifications in

Databricks, AWS, or Snowflake . This is an exciting opportunity to work on

cutting-edge data engineering solutions

in a

fast-paced retail environment . If you are passionate about leveraging data to drive business success and innovation, we encourage you to apply! Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Contract Job function

Job function

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