Sr. Data Engineer - Onsite

Atlanta, Georgia, United StatesOnsiteFull TimeSeniorPosted 2 months agoVisa sponsorship available

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Role summary

The Senior Data Engineer will design, build, and operate scalable, cloud-native data platforms for batch and streaming use cases. This role requires hands-on experience with major cloud platforms (AWS, Azure, GCP) and modern data architectures like data lakes and lakehouses. Expertise in data ingestion tools (Kafka, AWS Glue), streaming frameworks (Kafka, Flink), data transformation with Apache Spark, and data modeling using SQL-based tools (dbt, Airflow) is essential. The position emphasizes governance, performance, and reliability in data solutions.

Job Description – Senior Data Engineer
Category
Description
Role Title
Senior Data Engineer
Primary Objective
Design, build, and operate scalable, cloud‑native data platforms supporting batch and streaming use cases, with strong focus on governance, performance, and reliability.
Cloud Environments
Hands‑on experience developing and operating data systems on major cloud platforms such as
AWS, Azure, and GCP
. Ability to design cloud‑native, scalable, and cost‑efficient data solutions.
Data Architecture
Proven experience building
modern data architectures
, including
data lakes, data lakehouses, and data hubs
. Strong understanding of ingestion patterns, data governance, data modeling, observability, and platform best practices.
Data Ingestion
Expertise in data ingestion and collection using tools such as
Kafka and AWS Glue
. Experience working with modern storage formats including
Apache Iceberg and Parquet
.
Data Streaming
Strong experience designing and developing
real‑time streaming pipelines
using
Kafka, Flink
, or similar streaming frameworks. Understanding of event‑driven architectures and low‑latency data processing.
Data Modeling
Deep expertise in
data transformation and modeling
using
SQL‑based frameworks
and orchestration tools such as
dbt, AWS Glue, and Airflow
. Strong knowledge of modeling concepts including
Slowly Changing Dimensions (SCD)
and
schema evolution
.
Data Transformation
Extensive experience using
Apache Spark
for large‑scale data transformations, including
batch and streaming workloads
. Strong skills

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