Lead Data Engineer
Statsby Solutions
- India (remote or hybrid)
- Contract
Statsby Solutions is an AI and Data company built exclusively for the pharmaceutical and clinical research industry. We help the teams behind medicine move faster and deliver with greater confidence.
Are you ready to lead the way in building data platforms that actually scale? We’re looking for an experienced Lead Data Engineer with strong Databricks expertise to design, develop, and maintain high-performance data pipelines and processing solutions.
What You'll Own:
- Design, develop, and maintain scalable data pipelines using Databricks.
- Develop data processing solutions using PySpark and Python.
- Work with Apache Spark for large-scale data processing.
- Build and optimize ETL/ELT pipelines.
- Work with Delta Lake for data storage and processing.
- Develop and manage workflows using Databricks Workflows.
- Perform data transformation, cleansing, and validation.
- Optimize Spark jobs and improve pipeline performance.
- Collaborate with data engineers, analysts, and other technical teams.
- Troubleshoot data pipeline issues and ensure data quality.
What You Bring:
- 8-10 years of experience in Data Engineering.
- Strong hands-on experience with Databricks.
- Solid command of PySpark, Python, Apache Spark, and SQL
- Experience with Delta Lake and data lake architecture.
- Proven experience in building ETL/ELT pipelines.
- Working Knowledge of Azure, AWS, or GCP.
- Experience with Git and CI/CD is an added advantage.
Good to Have:
- Experience with Azure Databricks.
- Knowledge of Azure Data Factory, ADLS, or similar cloud data services.
- Experience with DBT, Snowflake, or other modern data platforms.
- Databricks certification is a plus.
Why Join Us:
- Get an opportunity to work on real-world Data Engineering and AI projects.
- Exposure to modern data technologies and cloud platforms.
- Collaborative and learning-focused work environment.
- Opportunity to work with a growing technology team.