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 up-to-date 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:

- Strong 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 rapid, 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 experience in Data Engineering or related roles
- Self-driven and proactive mindset.
- Strong ownership and accountability and communication skills. Passion for building scalable and maintainable data systems.
- Ability to work independently while collaborating effectively with distributed teams and client.

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 setting 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.

Qualifications

- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 6+ years of experience in Data Engineering or related roles
- Self-driven and proactive mindset.
- Strong ownership and accountability and communication skills. Passion for building scalable and maintainable data systems.
- Ability to work independently while collaborating effectively with distributed teams and client.

📌 Manager (Gurugram)
🏢 EXL
📍 Gurugram