Data Engineer

Trissential, LLC; Pune District; Hybrid; INR 3,573,000 - 5,955,000; Full time

Benefits offered by this job

Medical plans

Dental/Vision

HSA plan

Life insurance

Disability insurance

401k with match

Holidays & PTO

Career development

Team culture

Job summary

Trissential, LLC seeks a hands-on Data Engineer to join our client’s team in Pune on a hybrid schedule (up to 3 days onsite). Build scalable data pipelines using Azure Databricks, Spark, Python, and Azure analytics services to support enterprise data initiatives.

You’ll design data lake architectures, ensure data quality, and collaborate with architects, analysts, and engineers. 5+ years of experience, strong PySpark/SQL, and passion for reliable data platforms required.

Qualifications

• 5+ years hands-on experience with Azure Databricks and Spark.
• Strong Python (PySpark) and SQL development skills.
• Experience processing TB-scale datasets and building ETL pipelines.
• Knowledge of data lake architectures and data quality practices.
• Experience with Azure data analytics services and Git.
• Clear written and verbal communication; ability to explain technical concepts.
• Experience with Azure Data Factory, Delta Lake is a plus.

Responsibilities

• Develop, deploy, and maintain scalable data pipelines using Azure Databricks and Spark.
• Write PySpark and SQL code for large-scale data processing.
• Design and maintain modern data lake architectures and ETL frameworks.
• Optimize performance for TB-scale data workloads.
• Ensure data quality, integrity, and reliability.
• Leverage Azure analytics services for ingestion, storage, processing, and reporting.
• Create technical documentation including requirements and testing artefacts.
• Collaborate with architects, analysts, engineers, and stakeholders.
• Troubleshoot performance and data quality issues.
• Maintain source code with Git and promote best practices.

Skills

Azure Databricks

PySpark

Python

SQL

ETL

Data lake

Data quality

Azure analytics

Git

Communication

Education

Bachelor's degree in CS/IT/DE/SE

Azure Data Engineering cert

Databricks cert (beneficial)

Tools

ADF

Delta Lake

Job description

Overview

Location: Hybrid (Pune, India - Up to 3 Days Per Week Onsite)

Employment Type: ContractExperience Level: Intermediate (5+ Years)

Join a High-Impact Data Engineering Team

Are you a hands-on Data Engineer who enjoys building scalable data solutions and working with modern cloud technologies? Trissential is seeking a talented Data Engineer to join our client's team and help drive enterprise-scale data initiatives. This is an exciting opportunity to work with Azure Databricks, Spark, Python, and Azure analytics services while designing and optimizing data pipelines that support critical business operations.

If you're passionate about processing large-scale datasets, solving complex data challenges, and delivering reliable data platforms, this role offers the chance to make a meaningful impact in a collaborative environment.

What's In It for You?

• Work on enterprise-scale data engineering projects utilizing modern Azure technologies
• Build and optimize high-performance data processing pipelines handling TB-scale datasets
• Collaborate closely with business and technical teams to solve complex data challenges
• Gain exposure to advanced Azure analytics and cloud-based data ecosystems
• Contribute to data architecture decisions and best practices
• Work within a collaborative, innovation-focused culture that encourages continuous learning
• Enjoy a flexible hybrid work model that balances collaboration and autonomy
• Expand your expertise with cutting-edge data engineering tools and technologies

Your Role & Responsibilities

• Develop, deploy, and maintain scalable data processing pipelines using Azure Databricks and Apache Spark
• Write efficient, optimized Python (PySpark) and SQL code to support large-scale data processing requirements
• Design, implement, and maintain modern data lake architectures and ETL frameworks
• Optimize performance and scalability for TB-scale data workloads
• Ensure data quality, integrity, and reliability through robust quality management practices
• Leverage Azure data analytics services for data ingestion, storage, processing, and reporting solutions
• Create and maintain technical documentation, including requirements, process documentation, and testing artifacts
• Collaborate with architects, analysts, engineers, and stakeholders to understand business requirements and implement data solutions
• Troubleshoot and resolve performance, processing, and data quality issues
• Maintain source code and version control processes using Git
• Support continuous improvement initiatives and promote data engineering best practices

Skills & Experience You Should Possess

• 5+ years of hands-on experience developing and implementing solutions using Azure Databricks and Apache Spark
• Strong proficiency in Python, particularly PySpark development
• Strong SQL development and query optimization skills
• Demonstrated experience processing and optimizing TB-scale datasets
• Deep understanding of ETL processes, data integration, and data lake architecture
• Experience implementing and supporting data quality management processes
• Experience working with Azure data analytics services
• Strong analytical, troubleshooting, and problem-solving capabilities
• Excellent written and verbal communication skills
• Ability to explain technical concepts clearly to both technical and non-technical audiences
• Experience using Git for source control and version management

Bonus Points If You Have

• Experience with Azure Data Factory (ADF)
• Experience with Delta Lake architecture and optimization techniques
• Exposure to data warehousing and dimensional modeling concepts
• Familiarity with CI/CD pipelines and DevOps practices
• Experience working within Agile or Scrum environments
• Microsoft Azure certifications related to Data Engineering or Analytics
• Experience supporting cloud migration or modernization initiatives

Education & Certifications You Need

• Bachelor's Degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field
• Microsoft Azure Data Engineering certifications are highly desirable
• Databricks certifications are beneficial but not required
• Additional cloud or analytics certifications are considered a plus

What We Offer

At Trissential, we believe talented professionals thrive when given meaningful work, growth opportunities, and strong support. By joining our client's team, you'll contribute to impactful enterprise data initiatives while working alongside highly skilled professionals.

• Competitive Compensation – Up To $45 per hour, depending on your skills, experience. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
• Comprehensive Benefits for you and your dependents – Extensive Medical Plans, Dental, Vision, HSA with company contribution, company sponsored Life Insurance and Short / Long term disability insurance, a host of voluntary plans including legal, hospital, accident, pet wellness, and 401k with matching
• Paid Holidays and Paid Time Off
• Career Development and Advancement – Expleo is a global company in 29 Countries worldwide with a high focus on development
• Strong Team Culture – Collaborate with experienced professionals who value precision, performance, and teamwork

This role is only open to candidates who are authorized to work in the United States

Ready to Be Part of Something Exciting?