All jobs
Job Summary Synechron is seeking a Senior Data Engineer to build and optimize cloud-based data platforms using Azure and Databricks. The role will deliver reliable, secure, and cost-efficient data pipelines that support enterprise business objectives. Software Requirements Required: Azure, Azure Databricks, Azure Data Factory, and Azure Data Lake Azure Key Vault, service principals, and Azure CLI Apache Spark, PySpark, Python, T-SQL, and Linux/Shell scripting Databricks Jobs, Workflows, Azure Pipelines, and CI/CD Git and cloud-based data engineering tools Preferred: Agile delivery experience PL/SQL Data-quality, monitoring, and infrastructure automation tools Overall Responsibilities Design, develop, and maintain ETL/ELT pipelines using Spark and Databricks. Build batch and streaming data solutions. Develop Azure Data Factory pipelines and automate deployments. Optimize Databricks clusters, caching, queries, and cloud resource usage. Secure data and credentials using Key Vault and service principals. Monitor pipelines, resolve issues, and improve reliability. Collaborate with engineering teams and stakeholders. Document solutions and support continuous technical improvement. Technical Skills (By Category) Programming: Essential—Python, PySpark, T-SQL, Shell scripting. Preferred—PL/SQL. Data Management: Essential—Data lakes, ETL/ELT, SQL, data modeling, partitioning, and optimization. Preferred—Data governance and lineage. Cloud: Essential—Azure, Databricks, Data Factory, Data Lake, Key Vault, Azure CLI, and service principals. Preferred—Infrastructure as code and cloud cost management. Frameworks: Essential—Apache Spark, Spark SQL, PySpark, Databricks Jobs, and Workflows. Preferred—Delta-based storage and streaming frameworks. Tools and Methods: Essential—Git, CI/CD, Azure Pipelines, testing, monitoring, and Agile practices. Security: Essential—Secure credential management, role-based access, and least-privilege principles. Experience Requirements 10+ years in data engineering or Azure cloud technologies. 3+ years optimizing Databricks workloads. Experience with cluster sizing, caching, query optimization, Spark, ADF, Python, SQL, and Linux. Enterprise data platform or regulated-industry experience is preferred. Equivalent practical experience, certifications, or substantial project work may be considered. Day-to-Day Activities Develop PySpark, Python, SQL, and shell-based solutions. Build and monitor ADF pipelines and Databricks Workflows. Tune Spark jobs and manage cluster configurations. Investigate failures and resolve production issues. Participate in Agile meetings, design reviews, and code reviews. Collaborate with engineers, stakeholders, and platform teams. Produce pipeline documentation, test evidence, and support materials. Make technical decisions within approved architecture and security standards. Qualifications Bachelor’s or master’s degree in Computer Science, Information Technology, Mathematics, Data Engineering, or a related field. Equivalent professional experience may be considered. Azure or Databricks certification is preferred. Completion of Synechron security, compliance, and project training is required. Ongoing learning in Azure, Databricks, Spark, security, and cloud efficiency is expected. Professional Competencies Analytical problem-solving and root-cause analysis. Effective teamwork and technical leadership. Clear communication with technical and business stakeholders. Ability to manage priorities, deadlines, and dependencies. Adaptability and willingness to learn new technologies. Focus on secure, maintainable, reliable, and cost-efficient solutions. SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Candidate Application Notice At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices. Not finding the right fit? Let us know you're interested in a future opportunity by clicking Get Started below or create an account by clicking 'Sign In' at the top of the page to set up email alerts as new job postings become available that meet your interest! 
DetailsDetails 
DetailsDetails 
Details
Details
Synechron
Pune - Kharadi (EON), India
Azure Databricks Data Engineer – Apache Spark & Azure Data Factory.
DATA & ML
more at Synechron.
similar roles.
22 Oct, 2026
Rfcuny
Academic Affairs AI Executive Officer
- Data & ML
New York, NY
Salary not listed
22 Oct, 2026
Rfcuny
Research Scientist Program Manager
- Data & ML
New York, NY
Salary not listed
25 Sep, 2026
Hoganlovells
AI Capability Learning & Development Manager / Senior Manager – dependent on experience
- Leadership
- Hybrid
- Data & ML
London, United Kingdom
Hybrid
9 Oct, 2026
Hoganlovells
AI Capability Learning & Development Manager / Senior Manager – dependent on experience
- Leadership
- Data & ML
Munich, Germany
Salary not listed
22 Oct, 2026
Timmons Group
AI Innovation and Enablement Leader
- Full time
- Data & ML
$150k–225k/yr
Richmond, us
20 May, 2026
Enercity
Fachgebietsleiter:in Data & AI Solutions
- Remote
- Data & ML
Ricklingen, Germany
Remote