Mid-Senior Databricks Engineer

Arting Digital · IT Consulting & Digital Transformation · Cloud Consulting & Migration · Python · SQL · ETL/ELT · Azure Data Factory · 2 days ago
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Location
Remote (likely India)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 8, 2026. First seen by Alion on Nov 6, 2026.

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Arting Digital

Headquartered in Chandigarh, India, Arting Digital is an information technology and digital transformation services provider. The enterprise delivers a comprehensive suite of solutions, encompassing software and product engineering, mobile application development, cloud automation, and data analytics. By integrating artificial intelligence tools and digital marketing strategies, the company helps businesses optimize operational workflows and scale their digital capabilities.
artingdigital.com · HQ: Chandigarh, India · Cloud Consulting & Migration · IT Staffing & Staff Augmentation · IT Consulting & Digital Transformation
Tech stack of Arting Digital
Position: Mid-Senior Databricks Engineer Location: Remote Experience: 3-6 Years

Employment Type: Full-Time Required Skills & Qualifications 3-6 years of experience in Data Engineering. Strong knowledge of SQL, Python, and PySpark. Hands-on experience with Databricks and Apache Spark. Understanding of Spark optimization, partitioning, and shuffling. Experience with Delta Lake, Z-Ordering, and VACUUM. Experience building ETL pipelines using Delta Live Tables (DLT). Knowledge of Apache Airflow or Azure Data Factory. Understanding of data governance and data quality.

Key

Responsibilities Develop and maintain scalable data pipelines using Databricks, Python, and PySpark. Build and automate ETL workflows using Delta Live Tables (DLT). Optimize Spark jobs through partitioning, shuffling, and performance tuning. Implement Delta Lake optimization techniques, including Z-Ordering and VACUUM. Manage data orchestration using Airflow or Azure Data Factory. Ensure data quality, governance, and pipeline performance. Collaborate with cross-functional teams to deliver efficient data engineering solutions.

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