Azure Data Engineer

Job Title: Azure Data Engineer

Job Summary: As an Azure Data Engineer, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. You will be an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.

Key Responsibilities:

Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.

Ensure that architecture will support the requirements of the business and industry practices.

Implement data flows to connect operational systems, data for analytics, and BI systems.

Conduct data modeling, analysis, and mining.

Utilize Azure cloud services: Azure SQL Data Warehouse, Azure Data Lake, Blob Storage, Data Factory, Databricks, Stream Analytics, Cosmos DB, and other services to build scalable and high-performance data solutions.

Comply with data security and privacy policies and understand data governance.

Develop batch & real-time analytical solutions, prototypes, and proofs of concept for selected solutions.

Implement effective metrics and monitoring processes.

Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Required Skills and Qualifications:

Bachelor’s degree in Computer Science, Engineering, or relevant field; a Master’s is a plus.

Proven experience as an Azure Data Engineer or in a similar role.

Experience with Azure cloud services: ADLS, Azure Data Factory, Azure Databases, Databricks, etc.

Experience with SQL database design and the ability to write SQL queries.

Strong analytic skills related to working with unstructured datasets.

Experience with data pipeline and workflow management tools.

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Python, Scala, etc.

Preferred Skills:

Certifications in Azure Data Engineering or any relevant certifications.

Experience with machine learning and AI.

Knowledge of data management fundamentals and data storage principles.

Knowledge of distributed systems as it pertains to data storage and computing.

We can offer you:

A highly competitive compensation and benefits package

A multinational organization with 48 offices in 19 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 ‘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.acteristic protected by law.