Description : Senior Databricks Delta Live Tables Engineer.
About The Opportunity :
- We are a cloud data engineering & analytics consulting firm serving enterprise customers across data modernization, real-time analytics, and data governance initiatives.
- We design and implement scalable, production-grade data platforms using Databricks, Delta Lake, and modern CI/CD practices to accelerate business insights.
Role & Responsibilities :
- Design, develop and operate production Databricks Delta Live Tables (DLT) pipelines for batch and streaming use-cases ingestion, transformation, and consumption.
- Implement Delta Lake table design, partitioning, compaction and performance-tuning (file sizing, Z-ordering) to meet SLAs and cost targets.
- Author PySpark/SQL transformations and data quality rules (expectations/assertions) within DLT and automate testing for data correctness.
- Integrate DLT pipelines with Git-based CI/CD, automated testing, and deployment workflows to Databricks workspaces and jobs.
- Build observability and alerting for pipeline health, job failures, latency, and data lineage; perform root-cause analysis and remediation.
- Collaborate with data engineers, data scientists and stakeholders to define data contracts, schemas and operational runbooks.
Skills & Qualifications :
Must-Have :
- Databricks Delta LiveTables.
- Apache Spark.
- PySpark.
- Delta Lake.
- SQL.
- CI/CD.
Preferred:
- AWS.
- Terraform.
- Apache Airflow.
Additional Qualifications:
- 7+ years of professional experience in data engineering with demonstrable production experience building and operating Databricks-based pipelines.
- Proven track record delivering end-to-end data platform features with automated testing, deployment pipelines and SLAs.
Benefits & Culture Highlights:
- Fully remote role with flexible hours and a focus on outcome-driven delivery.
- Opportunities to work on large-scale, multi-cloud data modernization programs and to upskill on Databricks and modern data stack technologies.
- Collaborative, mentor-driven environment that emphasizes engineering excellence and automation.
Location: Remote (India).
If you are a highly motivated data engineer with deep Databricks DLT expertise and a passion for building reliable, high-performance data platforms, we'd love to hear from you.
Skills: apache spark,terraform,azure,sql,aws,databricks,delta live tables.
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1584412
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