Data Engineer – Databricks Job Overview We are looking for an experienced
Data Engineer
with solid expertise in
Databricks
to design, develop, and optimize scalable data pipelines and up-to-date data platforms. The ideal candidate will have hands-on experience with
big data technologies, cloud platforms, and ETL/ELT processes , with a strong focus on building reliable, high-quality data solutions that support analytics and business intelligence initiatives. The Data Engineer will collaborate closely with
Data Analysts, Data Scientists, Software Engineers, and business stakeholders
to understand requirements and deliver scalable, efficient, and well-governed data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using
Databricks . Build and optimize
ETL/ELT workflows
for structured and unstructured data. Develop and manage data ingestion processes from multiple data sources. Process and analyze large-scale datasets using
Apache Spark and PySpark . Design and maintain data models to support analytics and reporting. Optimize data pipeline performance and ensure data accuracy and quality. Collaborate with business and technical stakeholders to understand and translate data requirements. Implement data governance, security, and engineering best practices. Monitor, troubleshoot, and enhance existing data pipelines and data workflows. Document technical designs, processes, and data engineering standards.



Contribute to the continuous improvement of data architecture and engineering practices.
Required Qualifications & Skills Bachelor’s degree in
Computer Science, Information Technology, Engineering, or a related field . 5–7 years of experience
in Data Engineering or a similar role. Strong hands-on experience with
Databricks . Strong proficiency in
Apache Spark and PySpark . Strong
SQL
skills and experience working with relational databases. Hands-on experience developing
ETL/ELT data pipelines . Experience with at least one major cloud platform:
Azure, AWS, or GCP . Solid understanding of
data warehousing concepts and dimensional modeling . Experience with version control systems such as
Git . Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Skills Experience with
Delta Lake
and
Lakehouse architecture . Familiarity with
AWS Glue
or equivalent cloud data services. Experience with orchestration tools such as
Apache Airflow . Knowledge of
CI/CD practices
for data engineering. Experience implementing data quality, governance, and monitoring solutions. Databricks or cloud platform certifications
are a plus.
E xperience Requirements 5–7 years
of relevant Data Engineering experience. 2–3+ years of hands-on Databricks experience preferred . Proven experience building and optimizing production-grade data pipelines.

📌 Senior Data Engineer – Databricks (India)
🏢 Aspire, Jordan
📍 India