Job Description
We are seeking a highly skilled and experienced
Big Data Engineer (Scala & AWS Mandatory)
to join our dynamic team. The ideal candidate will have a strong background in cloud-based data engineering with
at least 4 years of hands-on experience in AWS
. You will be responsible for designing, building, and maintaining scalable data pipelines and solutions using modern data engineering tools and frameworks.
Key Responsibilities:
Design and implement robust, scalable, and high-performance data pipelines on AWS.
Develop and maintain ETL workflows using
Airflow
.
Write efficient and optimized code in
Python
for data processing and transformation.
Work with
SQL
to query, manipulate, and analyze large datasets.
Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders.
Ensure data quality, integrity, and security across all data platforms.
Big Data Engineer (Scala & AWS Mandatory)
to join our dynamic team. The ideal candidate will have a strong background in cloud-based data engineering with
at least 4 years of hands-on experience in AWS
. You will be responsible for designing, building, and maintaining scalable data pipelines and solutions using modern data engineering tools and frameworks.
Key Responsibilities:
Design and implement robust, scalable, and high-performance data pipelines on AWS.
Develop and maintain ETL workflows using
Airflow
.
Write efficient and optimized code in
Python
for data processing and transformation.
Work with
SQL
to query, manipulate, and analyze large datasets.
Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders.
Ensure data quality, integrity, and security across all data platforms.
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