Senior Data Engineer

Cary, MS - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Senior Data Engineer Location: Cary NC
Experience: 12 Years About the Role

We are looking for an experienced Senior Data Engineer who will lead the design and development of modern data platforms and scalable data pipelines. The ideal candidate has strong hands-on expertise in cloud data engineering big data technologies ELT/ETL architecture and data modeling along with the ability to mentor teams and work closely with business stakeholders to deliver high-quality data solutions.

Key Responsibilities

Architect design and implement large-scale data pipelines and data integration workflows across structured and unstructured datasets.
Build optimize and maintain robust ETL/ELT processes for ingestion transformation and delivery of data across enterprise systems.
Develop and manage data lakes data warehouses and analytics platforms using cloud technologies.
Work closely with data scientists analysts and business teams to understand data requirements and deliver reliable data for reporting and analytics.
Define best practices for data quality lineage governance security and performance optimization.
Lead and mentor junior engineers participate in design/code reviews and ensure engineering excellence.
Collaborate with cross-functional teams in an Agile environment for solution design and implementation.
Own production deployment monitoring debugging performance tuning and incident management for data pipelines.

Required Skills & Experience

12 years of experience in Data Engineering Data Architecture or similar roles.
Strong programming skills in Python / Java / Scala.
Expert in SQL and performance tuning for large datasets.
Hands-on experience with Big Data ecosystems Hadoop Spark Kafka Hive HBase etc.
Strong experience with Cloud platforms (AWS / Azure / GCP) and services like:
- AWS: S3 Glue EMR Redshift Lambda Kinesis
- Azure: Data Factory Synapse Databricks ADLS
- GCP: BigQuery Dataflow Pub/Sub
Experience with Data Warehouse / Data Lake / Lakehouse design and modeling (Kimball OLAP OLTP Star/Snowflake schemas).
Proficiency in CI/CD Git Docker Kubernetes Airflow or similar orchestration tools.
Knowledge of data governance security metadata management and data quality frameworks.

Nice to Have

Experience with Databricks / Snowflake / Delta Lake.
Exposure to ML pipelines MLOps and real-time streaming data processing.
Experience in designing scalable solutions for enterprise-level environments.

Education

Bachelors or Masters degree in Computer Science Engineering or related field.

Job Title: Senior Data Engineer Location: Cary NC Experience: 12 Years About the Role We are looking for an experienced Senior Data Engineer who will lead the design and development of modern data platforms and scalable data pipelines. The ideal candidate has strong hands-on expertise in cloud data ...

Job Title: Senior Data Engineer Location: Cary NC
Experience: 12 Years About the Role

Key Responsibilities

Architect design and implement large-scale data pipelines and data integration workflows across structured and unstructured datasets.
Build optimize and maintain robust ETL/ELT processes for ingestion transformation and delivery of data across enterprise systems.
Develop and manage data lakes data warehouses and analytics platforms using cloud technologies.
Work closely with data scientists analysts and business teams to understand data requirements and deliver reliable data for reporting and analytics.
Define best practices for data quality lineage governance security and performance optimization.
Lead and mentor junior engineers participate in design/code reviews and ensure engineering excellence.
Collaborate with cross-functional teams in an Agile environment for solution design and implementation.
Own production deployment monitoring debugging performance tuning and incident management for data pipelines.

Required Skills & Experience

12 years of experience in Data Engineering Data Architecture or similar roles.
Strong programming skills in Python / Java / Scala.
Expert in SQL and performance tuning for large datasets.
Hands-on experience with Big Data ecosystems Hadoop Spark Kafka Hive HBase etc.
Strong experience with Cloud platforms (AWS / Azure / GCP) and services like:
- AWS: S3 Glue EMR Redshift Lambda Kinesis
- Azure: Data Factory Synapse Databricks ADLS
- GCP: BigQuery Dataflow Pub/Sub
Experience with Data Warehouse / Data Lake / Lakehouse design and modeling (Kimball OLAP OLTP Star/Snowflake schemas).
Proficiency in CI/CD Git Docker Kubernetes Airflow or similar orchestration tools.
Knowledge of data governance security metadata management and data quality frameworks.