Data Engineer
: Job Details :

Primary Responsibilities:

• Strong understanding or Snowflake 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, as well as other utility functions.
• Provide production support for Data Warehouse issues such data load problems, transformation translation problems
• Translate 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 5 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 T-SQL, SSIS, Python, Data bricks, Snow SQL
• Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
• Excellent presentation and communication skills, both written and verbal, ability to problem solve and design in an environment with unclear requirements.

We can offer you:

A highly competitive compensation and benefits package

A multinational organization with 52 offices in 20 countries and the possibility to work abroad

Laptop and a mobile phone

10 days of paid annual leave (plus sick leave and national holidays)

Maternity & Paternity leave plans

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

Commuter benefits (varies by region)

Extensive training opportunities, focused on skills, substantive knowledge, and personal development

On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses

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

A flat and approachable organization

A truly diverse, fun-loving and global work culture

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 Synclusive 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.