BrickRed Systems
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This range is provided by BrickRed Systems. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$50.00/hr - $60.00/hr We’re looking for a
Senior Data Engineer
with hands‑on expertise in
Databricks, Spark, Python, and Snowflake
to design and build scalable data solutions in a fast‑paced, collaborative environment. The ideal candidate will bring strong
SQL skills
and a solid understanding of modern data architectures and big data ecosystems. Key Responsibilities
Design, develop, and optimize data pipelines using
Spark
and
Databricks Collaborate with product and analytics teams using
Agile/Scrum
practices Implement scalable data models and architecture for high‑volume processing Automate workflows and CI/CD processes Troubleshoot data issues and perform root cause analysis Required Skills
5–10 years in software/data engineering (5+ years in Big Data) Strong experience with
Python, Spark, SQL, and Databricks Familiar with
Hadoop, Hive, Airflow, GitHub/Bitbucket Exposure to
AWS ,
Snowflake , and
streaming tools
(Kafka/Kinesis) Strong problem‑solving and collaboration skills About BrickRed Systems
BrickRed Systems is a global leader in next‑generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. BrickRed Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client‑centric passion for innovation and delivery excellence. With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper‑automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Seniority level
Mid‑Senior level
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$50.00/hr - $60.00/hr We’re looking for a
Senior Data Engineer
with hands‑on expertise in
Databricks, Spark, Python, and Snowflake
to design and build scalable data solutions in a fast‑paced, collaborative environment. The ideal candidate will bring strong
SQL skills
and a solid understanding of modern data architectures and big data ecosystems. Key Responsibilities
Design, develop, and optimize data pipelines using
Spark
and
Databricks Collaborate with product and analytics teams using
Agile/Scrum
practices Implement scalable data models and architecture for high‑volume processing Automate workflows and CI/CD processes Troubleshoot data issues and perform root cause analysis Required Skills
5–10 years in software/data engineering (5+ years in Big Data) Strong experience with
Python, Spark, SQL, and Databricks Familiar with
Hadoop, Hive, Airflow, GitHub/Bitbucket Exposure to
AWS ,
Snowflake , and
streaming tools
(Kafka/Kinesis) Strong problem‑solving and collaboration skills About BrickRed Systems
BrickRed Systems is a global leader in next‑generation technology, consulting, and business process service companies. We enable clients to navigate their digital transformation. BrickRed Systems delivers a range of consulting services to our clients across multiple industries around the world. Our practices employ highly skilled and experienced individuals with a client‑centric passion for innovation and delivery excellence. With ISO 27001 and ISO 9001 certification and over a decade of experience in managing the systems and workings of global enterprises, we harness the power of cognitive computing hyper‑automation, robotics, cloud, analytics, and emerging technologies to help our clients adapt to the digital world and make them successful. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem. Seniority level
Mid‑Senior level
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