Role Overview:

We are looking for a highly skilled and motivated Senior Data Engineer to join
our growing data engineering team.

Key Responsibilities:

* In this role, you will build services that will integrate directly with
Lending Club’s products and with external vendors. you
* You will work with modern data technologies such as Hadoop, Spark, DBT,
Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks
and Snowflake and cloud technologies across AWS stack
* Identify, design, and implement automation of manual processes, optimizing
data delivery, reducing Cloud cost, etc.
* Implement processes and systems to monitor Data Quality, Observability,
Governance and Lineage.
* Support operations to manage the production environment and help in resolving
production issues with RCA
* Write unit/integration tests, adopt Test-driven development, contribute to
engineering wiki, and document design/implementation etc.

Skills required:

* Solid hands-on experience with distributed systems and big data
technologies, including Hadoop, Spark, Hive, DBT,



and Airflow/Dagster.
* Minimum 4 years of solid production-quality coding experience in Python
focused on data pipeline development.
* Experience working with cloud platforms, preferably AWS.
* Experience with Databricks and/or Snowflake.
* Proficiency in Git, JIRA, Jenkins, and shell scripting.
* Good understanding of Agile methodologies, source control management, test
automation, and Test-Driven Development.
* Experience working with cross-functional teams in fast-paced and dynamic
environments.
* Strong analytical, collaborative problem-solving, and communication skills.
* Proven track record of building fast, scalable, reliable, and high-quality
data pipelines.

Nice to Have:

Experience building data pipelines for Digital Marketing use cases.

Required Qualifications:

* Bachelor’s degree in Computer Science, Engineering, or a related field, or
equivalent practical experience.
* 6+ years of experie

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