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

Work arrangement
Hybrid