Job ID: JOB_ID_3549
Job Summary
We are seeking a Databricks professional who can work across engineering and architecture responsibilities, designing, building, and scaling enterprise data solutions using Databricks and Apache Spark on cloud platforms (AWS / Azure / GCP). The role involves hands-on development as well as solution design and technical leadership.
Key Responsibilities (Combined Role)
- Design, develop, and maintain end-to-end data pipelines using Databricks.
- Build and optimize Spark (PySpark / Spark SQL) jobs for large-scale data processing.
- Implement Delta Lake, data versioning, and data quality frameworks.
- Handle batch and streaming data pipelines.
- Architect scalable data lake / lakehouse solutions on cloud.
- Perform Spark performance tuning and cost optimization.
- Define data ingestion, transformation, and consumption strategies.
- Implement CI/CD pipelines for Databricks workloads.
- Ensure data security, governance, and access control.
- Collaborate with stakeholders and provide technical guidance.
- Mentor team members and lead design discussions.
Required Skills
- Strong hands-on experience with Databricks & Apache Spark.
- Expertise in PySpark, Spark SQL.
- Experience with AWS / Azure / GCP cloud services.
- Solid understanding of data lakes, data warehousing, and lakehouse architecture.
- Experience with Delta Lake.
- Strong SQL and data modeling skills.
- Experience with ETL/ELT frameworks.
- Knowledge of DevOps / CI-CD concepts.
Nice to Have
- Databricks certification.
- Experience with Kafka, Airflow, Azure Data Factory, Glue.
- MLflow and machine learning pipeline exposure.
- Infrastructure as Code (Terraform).
- Client-facing experience.
Role Expectation by Level
- Senior Engineer: Ownership, optimization & mentoring.
- Architect: Solution design, scalability, governance & leadership.
Special Requirements
Remote position. No specific visa constraints mentioned. No specific screening steps or interview modes mentioned.
Compensation & Location
Salary: $100,000 – $160,000 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Email: info@aetalentsgroup.com
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