Job Summary
Synechron is seeking two experienced Data Engineers / Data Analysts to work within our Financial Data, Index & Analytics domain. These roles are pivotal in designing, developing, and maintaining enterprise-grade data solutions that support business analytics and decision-making processes. The successful candidates will leverage their technical expertise to build robust data models, optimize performance, and deliver insightful visualizations that drive business growth. These roles are essential for converting complex financial datasets into strategic intelligence, fostering data-driven decision-making across the organization.
Software Requirements
Required Skills:
Advanced SQL (T-SQL), including CTEs, Window Functions, Dynamic SQL, and complex Joins
Experience with SQL Server and Azure SQL for data transformation and warehousing projects
Power BI Desktop & Power BI Service for creating dashboards, reports, and datasets
Knowledge of data modeling techniques such as Star Schema and Snowflake Schema
Experience with Azure Synapse Analytics, Databricks, and related data lake technologies
Strong understanding of Data Warehousing methodologies, including slowly changing dimensions (SCD Type 1, 2, 3), aggregate tables, and fact tables
Preferred Skills:
Exposure to Microsoft Fabric and OneLake
Python (Pandas, NumPy) for data processing and automation
Experience with Azure Analysis Services and SSAS Tabular Models for enterprise semantic layers
Overall Responsibilities
Design, develop, and optimize enterprise data warehouse solutions and dimensional models aligned with business requirements
Write complex T-SQL scripts, stored procedures, views, and functions for data transformation and reporting
Implement indexing and query tuning strategies to optimize performance
Build interactive dashboards and reports in Power BI, ensuring data accuracy and visual clarity
Collaborate with cross-functional teams to gather requirements, translate them into technical solutions, and support ongoing data initiatives
Maintain and enhance data pipelines and ETL processes, ensuring data integrity and high performance
Support ad-hoc data analysis using Excel, Power Query, and Power Pivot for senior management
Stay updated with emerging technologies and best practices in data warehousing, BI, and analytics
Technical Skills (By Category)
Programming Languages:
Required: T-SQL, Power BI DAX, Power Query M language
Preferred: Python (Pandas, NumPy)
Databases & Data Management:
SQL Server, Azure SQL, Data Warehouse modeling, SCD Types, Fact/Dimension tables
Cloud Technologies:
Azure Synapse Analytics, Azure Data Lake, Databricks (preferred)
Frameworks & Libraries:
Power BI, SSAS Tabular Models, Azure Analysis Services
Development Tools & Methodologies:
SQL Server Management Studio (SSMS), Visual Studio, Power BI Desktop, Agile/Scrum practices
Security & Data Governance:
Data privacy protocols, role-based access control, data validation
Experience Requirements
5+ years of experience in data engineering, data analysis, or related fields
Demonstrable experience in managing large-scale financial datasets and reporting
Proven expertise in SQL development, data modeling for data warehouses, and BI report creation
Experience working directly with business stakeholders to deliver analytics solutions
Strong track record in performance tuning, indexing strategies, and ETL frameworks
Day-to-Day Activities
Design and develop scalable data models and APIs for financial data analysis
Create and schedule Power BI dashboards and reports for various business units
Optimize data pipelines, troubleshoot performance issues, and enhance data quality
Engage with business users to gather requirements and deliver actionable insights
Document configurations, processes, and best practices to support ongoing maintenance
Review and improve data governance and security standards
Collaborate with team members to support data migrations, upgrades, and new initiatives
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related fields
Relevant certifications in SQL Server, Power BI, Azure Data Fundamentals, or equivalent (preferred)
Professional experience in financial services or index & analytics domain is highly advantageous
Professional Competencies
Strong analytical and problem-solving skills with an eye for detail
Excellent communication skills for engaging with technical and non-technical stakeholders
Ability to work independently and collaboratively in a fast-paced environment
Adaptability to evolving data tools and business requirements
Strong organizational skills and time management to handle multiple priorities
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
