180 applicants

Company

Tredence Inc. · 9 hours ago

Sr. Data Engineer (Azure Databricks)

United States

Full-time

Remote

Senior Level, Lead/Staff

8+ years exp

Maximize your interview chances

AnalyticsArtificial Intelligence (AI)

Growth Opportunities

H1B Sponsor Likely

Hiring Manager

Asha Malviya

Insider Connection @Tredence Inc.

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

At least 8 years of experience building and leading highly complex, technical engineering teams.

Strong hands-on experience in Databricks

Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. The data pipelines must be created, maintained, and optimized as workloads move from development to production for specific use cases.

Experience managing distributed teams preferred.

Comfortable working with ambiguity and multiple stakeholders.

Comfortable working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas.

Expertise on Azure Cloud platform

Good SQL knowledge

Knowledge on orchestrating workloads on cloud

Ability to set and lead the technical vision while balancing business drivers

Strong experience with PySpark, Python programming

Proficiency with APIs, containerization and orchestration is a plus

Experience handling large and complex sets of data from various sources and databases

Solid grasp of database engineering and design principles.

Experience with Unity Catalog.

Familiarity with CI/CD methods desired

Good to have Teradata Experience (not Mandatory)

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

DatabricksAzure CloudPythonData engineering solutionsApache SparkSQLPySparkDatabase engineeringUnity CatalogHandling large data setsOrchestrating workloadsCI/CD methodsContainerizationAPIsManaging distributed teamsTechnical vision leadershipCross-functional collaboration

Required

At least 8 years of experience building and leading highly complex, technical engineering teams.

Strong hands-on experience in Databricks

Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python.

Experience managing distributed teams preferred.

Comfortable working with ambiguity and multiple stakeholders.

Comfortable working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas.

Expertise on Azure Cloud platform

Good SQL knowledge

Knowledge on orchestrating workloads on cloud

Ability to set and lead the technical vision while balancing business drivers

Strong experience with PySpark, Python programming

Experience handling large and complex sets of data from various sources and databases

Solid grasp of database engineering and design principles.

Experience with Unity Catalog.

Preferred

Experience managing distributed teams preferred.

Proficiency with APIs, containerization and orchestration is a plus

Familiarity with CI/CD methods desired

Good to have Teradata Experience (not Mandatory)

Company

Tredence Inc.

Glassdoor

4.1

Tredence is a global data science solutions provider focused on solving the last mile problem in AI.

Founded in 2013

San Jose, California, USA

1001-5000 employees

http://tredence.com

H1B Sponsorship

Tredence Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (63)

2022 (91)

2021 (73)

2020 (60)