Job Description – Databricks Data Engineer (L3)

Position: Databricks Data Engineer (L3)

Location: Kolkata (Work from Office / Hybrid as per business requirement)

Experience: 5–8 Years

Qualification: BE / B.Tech (Mandatory)

Notice Period: Immediate Joiners Preferred

Interview Process:

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Round 1: Virtual Technical Interview

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Final Round: Face-to-Face Interview (11th July)

Job Summary

We are seeking an experienced Databricks Data Engineer with strong expertise in building scalable data pipelines, data warehousing, and cloud-based data platforms. The ideal candidate should have hands-on experience with Databricks, Apache Spark, SQL, and contemporary data engineering practices. Candidates from reputed product companies, consulting firms, or large enterprise organizations will be preferred.

Key Responsibilities

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Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.

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Build and optimize ETL/ELT processes for large-scale structured and unstructured datasets.

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Develop data transformation workflows using PySpark and SQL.

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Work closely with business stakeholders, data scientists, and analytics teams to deliver high-quality data solutions.

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Implement data quality, governance, and security best practices.

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Optimize Databricks jobs for performance, scalability, and cost efficiency.

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Integrate data from multiple sources including databases, APIs, cloud storage, and enterprise applications.

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Monitor, troubleshoot, and support production data pipelines.

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Participate in architecture discussions and contribute to data platform modernization initiatives.

Required Skills

Mandatory Skills

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Databricks

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Apache Spark

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PySpark

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SQL

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Data Engineering

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ETL / ELT Development

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Data Warehousing Concepts

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Python

Preferred Skills

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Azure Databricks / AWS Databricks

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Delta Lake

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Azure Data Factory (ADF)

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Azure Data Lake Storage (ADLS)

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AWS S3

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Airflow

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Kafka

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CI/CD Pipelines

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Git

Desired Candidate Profile

📌 Azure Databricks Data Engineer (India)
🏢 Sparix Global
📍 India