Data Engineer

FDM Group Limited

Charlotte, NC, United States

about 1 month ago

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Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Java (Programming Language) Microsoft Azure Big Data Cloud Computing Information Engineering Data Governance Extract Transform Load (ETL) Data Warehousing Relational Databases DevOps Disaster Recovery Distributed Data Store

+22 more

Fault Tolerance Apache Hadoop Monitoring of Systems Apache HBase Apache Hive Python (Programming Language) OpenShift Oracle (Applications) Performance Tuning Software Engineering SQL Databases Informatica Powercenter System Availability Delivery Pipeline Snowflake Apache Spark Containerization Kubernetes Apache Kafka Data Pipelines Docker Databricks

Job description

This position requires the successful candidate to work on a W2 directly with FDM. We cannot accept C2C, 1099 or employment sponsorship (e.g. H1-B) for this position., + Legacy Modernization: Drive the migration and re-architecture of on-premises data warehouses, legacy Informatica ETL workflows, and Hadoop/Big Data systems into cloud-native environments.

Pipeline Development: Build, optimize, and maintain data integration, cleaning, transformation, and control processes using Python and advanced SQL.
Data Quality & Governance: Establish rigorous data quality controls, metadata tracking, lineage verification, and Authoritative Data Sourcing (ADS) compliance.
System Resiliency: Apply non-functional requirements (NFRs) focused on security, high availability, disaster recovery, performance tuning, and system observability.

Requirements

Data engineering roles requiring Informatica, Python, and Hadoop focus on legacy platform cloud modernization, building high-performance data pipelines, and migrating massive enterprise data stores to modern cloud ecosystems like Azure, Databricks, and Snowflake., + Experience: 5 to 12+ years in data or software engineering, with significant enterprise background in distributed data architectures.

Core Languages: Advanced proficiency in SQL and Python (Scala or Java considered strong pluses)
Ecosystems: Hands-on background with Informatica ETL, Hadoop ecosystem components (Hive, HBase, Spark, Kafka), and mainstream RDBMS (Oracle). *
Cloud & DevOps: Familiarity with modern containerization and cloud platforms (Azure, OpenShift, Kubernetes, Docker, and CI/CD automation pipelines)

About the company

FDM is a global business and technology consultancy delivering client and industry driven solutions through our 5 core specialist Practices; Software Engineering, Data & Analytics, IT Operations, Change & Transformation, and Risk, Regulation & Compliance.

FDM is seeking a Data Engineer located in Charlotte to support a project in the Financial Services sector. Involvement in this project is anticipated to last initially 12 months but may be extended.

This role will be hybrid with requirements to be in office 3 days per week.