Data Engineer

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

Employment Type: Contract

Experience 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? If you're an experienced Data Engineer who enjoys designing scalable cloud data solutions, optimizing big data workloads, and leveraging the power of Azure technologies, we want to hear from you. Apply today and take the next step in your data engineering career with Trissential