Synechron

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.. Job Title: Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python). Strong understanding on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.. Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.. A multinational organization with 48 offices in 19 countries and the possibility to work abroad

senior data engineer

We areAt 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 14,700+, and has 48 offices in 19 countries within key global markets. Job Title: Senior Data Engineer (MS SQL, T-SQL, SSIS, Snowflake, Python)Location: NYCJob Type: Full-timeExperience: 9+ Years Job Descriptions: Must have hands-on:MS SQL, T-SQL, SSIS, Snowflake, Python Primary Responsibilities: Strong understanding on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.Need to have working knowledge of MS Azure configuration items with respect to Snowflake.Developing EL pipelines in and out of data warehouse using combination of Data bricks, Python and Snow SQL.Developing scripts UNIX, Python etc. to Extract, Load and Transform data, and T-SQL as well as other utility functions.Provide production support for Data Warehouse issues such data load problems, transformation translation problemsTranslate mapping specifications to data transformation design and development strategies and code, incorporating standards and best practices for optimal execution.Understanding data pipelines and modern ways of automating data pipeline using cloud based testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions.Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. Basic Qualifications: Minimum 8 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.Including hands on experience with productionized data ingestion and processing pipelines using Python, Data bricks, Snow SQLExcellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologiesExcellent presentation and communication skills, both written and verbal, ability to problem solve and design in an environment with unclear requirements. Good to Have:<ul><li>Experience in Finance / Banking industry – some understanding of Securities and Banking products</li></ul> We can offer you: <ul><li>A highly competitive compensation and benefits package</li><li>A multinational organization with 48 offices in 19 countries and the possibility to work abroad</li><li>Laptop and a mobile phone</li><li>10 days of paid annual leave (plus sick leave and national holidays)</li><li>Maternity & Paternity leave plans</li><li>A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)</li><li>Retirement savings plans</li><li>A higher education certification policy</li><li>Commuter benefits (varies by region)</li><li>Extensive training opportunities, focused on skills, substantive knowledge, and personal development</li><li>On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses</li><li>Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups</li><li>Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms</li><li>A flat and approachable organization</li><li>A truly diverse, fun-loving and global work culture</li></ul> SYNE CHRON'S DIVERSITY & INCLUSION STATEMENTDiversity and 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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