Senior Data Engineer – Databricks
2 days ago
Job Title:
Senior Data Engineer – Databricks
Experience:
6–10 Years
Work Mode:
Hybrid
Shift Timing:
4:00 PM – 1:00 AM IST
Role Overview
We are looking for an experienced
Senior Data Engineer
with strong hands-on exposure to
Databricks
to design, build, and optimize scalable data pipelines and analytics platforms. The role involves working closely with cross-functional teams to support data-driven decision making in a hybrid work environment.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Databricks.
- Build and optimize ETL/ELT workflows for structured and unstructured data.
- Develop data transformations using PySpark / Spark SQL.
- Ensure data quality, reliability, and performance across pipelines.
- Work with large-scale datasets and implement best practices for data modeling.
- Collaborate with data scientists, analysts, and stakeholders.
- Monitor and troubleshoot data workflows and production issues.
- Participate in code reviews, performance tuning, and optimization.
- Support deployments and maintenance during the evening shift (4 PM – 1 AM).
Mandatory Skills
- Strong hands-on experience with Databricks.
- Expertise in Apache Spark (PySpark / Spark SQL).
- Solid experience in building data pipelines and data lakes.
- Strong SQL skills and experience with data modeling.
- Experience with cloud platforms (AWS / Azure / GCP).
- Knowledge of workflow orchestration tools (Airflow, ADF, etc.).
- Strong debugging and performance tuning skills.
Good to Have
- Experience with Delta Lake and Databricks optimization techniques.
- Exposure to real-time or streaming data processing.
- Experience working with large-scale enterprise data platforms.
- Knowledge of CI/CD for data pipelines.
- Understanding of data governance and security best practices.
Soft Skills
- Strong problem-solving and analytical skills.
- Good communication and stakeholder management.
- Ability to work independently in a fast-paced environment.
- Mentoring junior engineers.
Education
- BE / BTech / MCA / MSc in Computer Science, Data Engineering, or related field.
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