Job Description

Data Engineer – Databricks

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Job Overview

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We are looking for an experienced Data Engineer with strong expertise in Databricks to design, develop, and optimize scalable data pipelines and modern data platforms.

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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.

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The Data Engineer will collaborate closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver scalable, productive, and well-governed data solutions.

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Key Responsibilities

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- Design, develop, and maintain scalable data pipelines using Databricks .
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- Build and optimize ETL/ELT workflows for structured and unstructured data.
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- Develop and manage data ingestion processes from multiple data sources.
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- Process and analyze large-scale datasets using Apache Spark and PySpark .
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- Design and maintain data models to support analytics and reporting.
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- Optimize data pipeline performance and ensure data accuracy and quality.
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- Collaborate with business and technical stakeholders to understand and translate data requirements.
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- Implement data governance, security, and engineering best practices.
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- Monitor, troubleshoot, and enhance existing data pipelines and data workflows.
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- Document technical designs, processes, and data engineering standards.
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- Contribute to the continuous improvement of data architecture and engineering practices.
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Required Qualifications & Skills

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- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field .
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- 5–7 years of experience in Data Engineering or a similar role.
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- Strong hands-on experience with Databricks .
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- Strong proficiency in Apache Spark and PySpark .
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- Strong SQL skills and experience working with relational databases.
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- Hands-on experience developing ETL/ELT data pipelines .
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- Experience with at least one major cloud platform: Azure, AWS, or GCP .
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- Solid understanding of data warehousing concepts and dimensional modeling .
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- Experience with version control systems such as Git .
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- Strong analytical, troubleshooting, and problem-solving skills.
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- Excellent communication and collaboration skills.
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Preferred Skills

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- Experience with Delta Lake and Lakehouse architecture .
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- Familiarity with AWS Glue or equivalent cloud data services.
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- Experience with orchestration tools such as Apache Airflow .
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- Knowledge of CI/CD practices for data engineering.
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- Experience implementing data quality, governance, and monitoring solutions.
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- Databricks or cloud platform certifications are a plus.
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Experience Requirements

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- 5–7 years of relevant Data Engineering experience.
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- 2–3+ years of hands-on Databricks experience preferred .
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- Proven experience building and optimizing production-grade data pipelines.
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📌 Senior Data Engineer - Databricks (India)
🏢 Aspire, Jordan
📍 India