Data Engineer
$120k - $140kSFE
Section
Details
Job Title
Data Engineer
Job Type
Full Time
Client Location
Atlanta,GA
Work Arrangement
Onsite
Duration
Full Time
Pay Rate / Salary
$120-$140k/yr.
Job Summary
- A Data Engineer designs, builds, and maintains reliable data pipelines and infrastructure that enable organizations to collect, process, store, and analyze large volumes of data.
- They work with databases, cloud platforms, ETL/ELT processes, and data warehouses to ensure data is accurate, accessible, secure, and optimized for analytics and business reporting.
Key Responsibilities
Design, develop, and maintain scalable data pipelines and ETL solutions.
Build and optimize data ingestion frameworks for structured and unstructured data.
Implement data quality, validation, standardization, and governance processes.
Develop data infrastructure integrating multiple heterogeneous data sources.
Support analytics, reporting, machine learning, and business intelligence initiatives.
Work with Data Scientists and BI teams to prepare and curate data for analytics.
Develop scalable solutions for Big Data processing and streaming workloads.
Analyze data and provide actionable insights and recommendations to business stakeholders.
Gather requirements from business teams and translate them into technical solutions.
Lead and mentor junior data engineers.
Collaborate across multiple projects as the Data Engineering SME.
Drive adoption of Data Engineering best practices and standards.
Required Qualifications
Databricks (Notebooks, Delta Lake, Delta Live Tables, Unity Catalog)
Python and PySpark
Spark SQL and Apache Spark
ETL/Data Pipeline Development
Big Data technologies: Hadoop, Spark, Kafka, Hive, HDFS, Sqoop
Strong SQL querying and data modeling
Data ingestion, transformation, cleansing, and validation
Cloud platforms (AWS/GCP)
Data warehouse and large-scale data processing experience
Experience with streaming data using Kafka and Spark Streaming
Agile methodologies (Scrum, Kanban, SAFe)
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