Junior Data Engineer, Azure Databricks

Miratech

Junior Data Engineer building Azure Databricks and PySpark pipelines for Miratech’s global IT consulting clients. Supporting SQL Server platforms, Azure Data Factory, and cloud Lakehouse architectures.

Posted 8/25/2026full-timeRemote • 🇮🇳 IndiaJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and maintaining data pipelines using Azure Databricks, PySpark, and SQL, with a strong focus on data quality and performance optimization. Experienced in building ETL/ELT pipelines and collaborating with BI teams to support analytics and reporting platforms.

Highest-signal resume keywords

Azure DatabricksData Pipeline DevelopmentPySparkSQL ServerAzure Data Factory

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData Warehouse DevelopmentETL/ELT PipelinesData TransformationBig Data ConceptsSQL SkillsData Quality AssurancePerformance OptimizationData ModelingData Integration

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration SkillsProactive Mindset

Tools & Technologies

Power BIDatabricks Structured StreamingDelta LakeLakehouse Architectures

Tech Stack

Tools & technologies

AzureCloudETLPySparkSparkSQL

About the role

Key responsibilities & impact

Support and evolve existing SQL Server data platforms and ETL solutions
Develop and maintain data pipelines using Azure Databricks
Build and optimize data transformations using PySpark and SQL in Databricks
Develop ETL/ELT pipelines orchestrated through Azure Data Factory
Integrate data from multiple sources into the data platform and analytical layers
Maintain data models and data warehouse structures for analytics
Ensure data quality, scalability, and performance of large-scale data processing pipelines
Collaborate with BI teams to support Power BI and reporting platforms
Participate in implementing modern cloud-based data architectures under guidance from senior team members

Requirements

What you’ll need

2+ years of experience in Data Engineering, Data Warehouse development, or a related field
Experience with Azure Databricks
Experience developing data pipelines using PySpark and Spark SQL
Understanding of distributed data processing and big data concepts
Good SQL skills and experience with SQL Server relational databases
Experience building data pipelines using Azure Data Factory
Exposure to data processing and performance optimization concepts
Nice to have: Knowledge of Spark optimization techniques, including partitioning, caching, and cluster tuning
Nice to have: Familiarity with Power BI and Databricks Structured Streaming
Nice to have: Experience migrating traditional ETL processes to cloud architectures
Nice to have: Familiarity with Delta Lake and Lakehouse architectures
Strong analytical and problem-solving skills
Good communication and collaboration skills
Team player with a proactive mindset
Eagerness to learn and continuously develop technical expertise
Adaptability and comfort working in dynamic environments

Benefits

Comp & perks

Comprehensive compensation and benefits package
Health insurance
Language courses
Relocation program
Flexible remote work
Professional development opportunities
Certification programs
Mentorship and talent investment programs
Internal mobility opportunities
Internship opportunities
Impactful projects for top global clients
Inclusive and supportive work environment
Regular team-building company social events