Job description

We are 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. We are seeking highly skilled Azure Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions. Data Pipeline Development: Build and maintain scalable ETL/ELT pipelines using Databricks. Leverage PySpark/Spark and SQL to transform and process large datasets. Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems. Collaboration & Analysis: Work Closely with multiple teams to prepare data for dashboard and BI Tools. Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions. Performance & Optimization: Optimize Databricks workloads for cost efficiency and performance. Monitor and troubleshoot data pipelines to ensure reliability and accuracy. Implement and manage data security, access controls and governance standards using Unity Catalog. Ensure compliance with organizational and regulatory data policies. Deployment: Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments. Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.) Proficiency in Azure Cloud Services. Solid Understanding of Spark and PySpark for big data processing. Experience in relational databases. Knowledge on Databricks Asset Bundles and GitLab. Familiarity with Databricks Runtimes and advanced configurations. Experience in developing real-time data solutions. Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Laptop and a mobile phone ~10 days of paid annual leave (plus sick leave and national holidays) ~ A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region) ~ Retirement savings plans ~ A higher education certification policy ~ Extensive training opportunities, focused on skills, substantive knowledge, and personal development. ~ Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups ~ Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms ~ S​YNECHRON’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.

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