Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• You will join a team dedicated to assisting both new and existing clients with their data engineering requirements.

• You will provide guidance to clients to help them make informed technical choices to realize their objectives.

• You will engage with multiple customer accounts, necessitating tracking and reporting on their progress.

• You will design, construct, and implement intricate data solutions, troubleshoot issues, apply transformations, and suggest data cleansing and quality strategies.

• You will evaluate data sources to assess their value and recommend data inclusion in analytical processes.

• You will integrate essential data management skills, encompassing data governance, security, and quality.

• You will work collaboratively within and across teams to facilitate delivery and educate end users on data products and analytical environments.

• You will conduct data and system analysis, assessing and resolving defects and incidents of moderate complexity, making corrections as necessary.

• You will validate data movement, transformation code, and data components.

⛳️ Requirements

• Over 5 years of relevant experience in data engineering and data product development.

• Proficiency in one or more of the following:

• Data Engineering technologies (e.g., Spark, Hadoop, Kafka)

• Experience with the Databricks platform - expertise in data engineering and/or ML ops is a significant plus.

• Knowledge of Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO).

• Familiarity with Data Warehousing (e.g., SQL, OLTP/OLAP/DSS).

• Strong understanding of the complete data analytics workflow.

• Proven domain expertise with the ability to grasp technical concepts and possess comprehensive knowledge of the immediate systems worked on.

• Demonstrated problem-solving abilities, including debugging skills.

• Excellent verbal and written communication skills.

• Leadership - Intermediate leadership capabilities with a proven history of self-motivation in pursuing personal development opportunities.

• Outstanding time management and prioritization skills. Knowledge of public cloud platforms such as AWS, Azure, or GCP is advantageous.

• Preferred: Databricks Certification.

🏝️ Benefits

• Health Insurance: Employees and their eligible family members, including spouses, domestic partners, and children, are eligible for coverage starting from the first day of employment.

• Paid Time Off: Begin your career at SunnyData with a minimum of 15 days of Paid Time Off per year, in addition to nine paid company holidays.

• An opportunity to enhance your technical and interpersonal skills, leading teams on intricate customer projects that are highly innovative and cutting-edge. This is a great chance to advance your career with a focus on innovation and customer-centricity within a rapidly growing consulting firm dedicated to Databricks.