Job Description

Job Title: Databricks with PySpark Big Data Engineer

Work Location: 100% Remote USA

Must-have Skills:

• Big Data Proficiency : Experience with big data technologies -Databricks with PySpark

• Data Modelling : Strong understanding of data modelling principles and experience in designing efficient data models BI Tools. Understanding & Experience of ETL tools

• SQL and Data Manipulation : Proficiency in SQL and data manipulation skills to prepare data for visualization.

• Scripting Languages : Intermediate or higher level of understanding of scripting language Python for creating efficient and customizations of applications and writing automation script is expected.

Good to have Skills:

• Other scripting Languages : Familiarity with scripting languages such as JavaScript other than python for customizations and automation.

• Google Pub sub/Kafka/Mongo DB

• ETL : Familiarity with ETL processes and tools for data extraction, transformation, and loading.

• Cloud Platforms : Knowledge of cloud platforms like Databricks, Snowflake, Google Cloud for ThoughtSpot deployments.

• Data Warehousing : Understanding of data warehousing concepts and technologies.

• Data Governance : Familiarity with data governance and data quality best practices.

• Certifications : certifications or relevant industry certifications Databricks, GCP cloud

• Data Security : Knowledge on PII and masking is desirable.

• Agile : Working knowledge on Agile/SAFe

• Domain Expertise : Knowledge on Retail Domain KPIs

Qualification:

• Bachelor's degree in computer science, engineering, or related field

• Demonstrated continued learning through one or more technical certifications or related methods

• 4+ years of Experience in Big Data Technologies must be able to articulate use cases supported and outcomes driven Relevant experience in Retail domain

Job Tags

Similar Jobs