Data Engineer
Apply NowCompany: Edward Jones
Location: Sunnyvale, CA 94087
Description:
Proven experience (7+ years) as a data Engineer, preferably with a focus on software development, and distributed systems.
Solid understanding of data engineering concepts, database design, ETL processes, and data mining.
Proficiency in working with data technologies including SQL, Python, Spark, Scala, Hadoop, and related technologies and tools.
Experience with ETL tools such as Apache Airflow, digdag, and oozie.
Experience with CI/CD processes and tools such as Jenkins and Maven
Strong understanding of metadata management, data lineage, and data quality and tools.
Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search a plus.
Experience implementing operational best practices such as monitoring, alerting, validation, and exception handling.
Strong analytical, problem-solving skills with the ability to optimize, troubleshoot, and debug data process and pipelines.
Excellent communication skills to collaborate effectively with cross-functional teams and present performance analysis findings.
Experience supporting and working with cross-functional teams and influence them with solutions in a dynamic environment.
Experience in AdTech and advertising measurement
Required Skills : SQL, Python, PySpark, Airflow, Tableau, and GCP are must haves. Core Responsibilities: Core team for revenue recognition. Own integrated data layer. Support applications such as billing, order management, CMS. Provide KPIs used by sales and marketing teams.
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :MSA: Blanket Approval Received Client Letter: Will Provide"
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :Yes
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :
Solid understanding of data engineering concepts, database design, ETL processes, and data mining.
Proficiency in working with data technologies including SQL, Python, Spark, Scala, Hadoop, and related technologies and tools.
Experience with ETL tools such as Apache Airflow, digdag, and oozie.
Experience with CI/CD processes and tools such as Jenkins and Maven
Strong understanding of metadata management, data lineage, and data quality and tools.
Familiarity with Cloud Computing Services such as Google GCP and Microsoft Azure, as well as Distributed Storage Systems like Hive and Elastic Search a plus.
Experience implementing operational best practices such as monitoring, alerting, validation, and exception handling.
Strong analytical, problem-solving skills with the ability to optimize, troubleshoot, and debug data process and pipelines.
Excellent communication skills to collaborate effectively with cross-functional teams and present performance analysis findings.
Experience supporting and working with cross-functional teams and influence them with solutions in a dynamic environment.
Experience in AdTech and advertising measurement
- Bachelor or Master's degree in computer science, Software Engineering, or a related field.
Required Skills : SQL, Python, PySpark, Airflow, Tableau, and GCP are must haves. Core Responsibilities: Core team for revenue recognition. Own integrated data layer. Support applications such as billing, order management, CMS. Provide KPIs used by sales and marketing teams.
Basic Qualification :
Additional Skills :
Background Check : Yes
Drug Screen : No
Notes :
Selling points for candidate :
Project Verification Info :MSA: Blanket Approval Received Client Letter: Will Provide"
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :Yes
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :