Data Engineer

Synechron is seeking an experienced Data Engineer to join its team. The role focuses on building and maintaining scalable database solutions, developing ETL and data warehouse processes, and ensuring data quality and pipeline performance.

Responsibilities

Design, develop, and maintain scalable database solutions using SQL, T-SQL, and SSIS

Implement database design and normalization best practices to ensure data integrity and efficiency

Optimize queries and tune database performance for large-scale data processing

Design and implement ETL processes to extract, transform, and load data from various sources into data warehouses

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs

Ensure data quality, consistency, and reliability by implementing data governance practices

Familiarity with cloud data solutions, including Azure SQL or AWS RDS, to design and deploy cloud-based data architectures

Monitor and troubleshoot data pipeline performance and resolve issues as they arise

Stay updated with the latest industry trends and technologies in data engineering and cloud solutions

Preferred

Experience with additional data processing frameworks or tools (e.g., Apache Spark, Hadoop) is a plus

Familiarity with programming languages such as Python or Java for data processing tasks

Knowledge of data modelling and data architecture principles

Experience with data governance and compliance requirements

Data Processing Frameworks

Apache Spark

Hadoop

Python

Java

Data Modeling

Data Architecture

Data Governance

Compliance Requirements

Benefits

A multinational organization with 58 offices in 22 countries and the possibility to work abroad.

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.

A flat and approachable organization.

A truly diverse, fun-loving, and global work culture.

Flexible workplace arrangements.

Mentoring.

Internal mobility.

Learning and development programs.

Company

Digital consulting for financial services and technology firms

New York, New York, USA

http://www.synechron.com/

Founded in 2001

10001+ employees

Qualifications

An experienced Data Engineer with strong communication skills

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field

Experience as a Data Engineer or in a similar role

Proficiency in SQL and T-SQL for data manipulation and querying

Strong experience with SSIS for ETL process development and implementation

Expertise in database design, normalization, and optimization techniques

Familiarity with cloud data platforms such as Azure SQL or AWS RDS

Knowledge of data warehousing concepts and architecture

Strong problem-solving skills and attention to detail

Excellent communication and collaboration skills to work effectively with cross-functional teams

Experience with additional data processing frameworks or tools (e.g., Apache Spark, Hadoop) is a plus

Familiarity with programming languages such as Python or Java for data processing tasks

Knowledge of data modelling and data architecture principles

Experience with data governance and compliance requirements

Required skills

SQL, T-SQL, SSIS, Database Design, Database Optimization, Azure SQL, AWS RDS, Data Warehousing, Apache Spark, Hadoop, Python, Java

Preferred skills

Knowledge of data modelling and data architecture principles, Experience with data governance and compliance requirements

Experience

Mid level