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Experience Level
Mid to Senior
Qualifications
ResponsibilitiesDevelop and maintain scalable data pipelines utilizing Python and PySpark.Design and implement ETL (Extract, Transform, Load) processes.Optimize and troubleshoot existing PySpark applications for enhanced performance.Collaborate with cross-functional teams to gather and understand data requirements.Write clean, efficient, and well-documented code.Conduct code reviews and engage in design discussions.Ensure data integrity and quality throughout the data lifecycle.Integrate with cloud platforms such as AWS, Azure, or Google Cloud Platform.Implement data storage solutions and manage extensive datasets.
About the job
Key Qualifications
Proven expertise in Python programming.
Practical experience with PySpark and Apache Spark.
Familiarity with Big Data technologies such as Hadoop, Hive, and Kafka.
Strong background in SQL and both relational and non-relational databases.
Understanding of distributed computing and parallel processing.
Knowledge of data engineering best practices.
Experience with REST APIs, JSON/XML, and data serialization techniques.
Exposure to cloud computing platforms.
Additionally, we prefer candidates with:
Over 5 years of experience in Python and PySpark development.
Experience managing data warehousing and data lakes.
Knowledge of machine learning libraries, such as MLlib, is a plus.
Strong analytical and debugging skills.
Excellent communication and teamwork abilities.
About gsbsolutions1
gsbsolutions1 is a forward-thinking IT services company focused on delivering innovative data solutions. With a commitment to excellence and a passion for technology, we strive to empower our clients through effective data management and analytics.
Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Unlock Your Potential
Generate Job-Optimized Resume
One Click And Our AI Optimizes Your Resume to Match The Job Description.
Is Your Resume Optimized For This Role?
Find Out If You're Highlighting The Right Skills And Fix What's Missing
Experience Level
Mid to Senior
Qualifications
ResponsibilitiesDevelop and maintain scalable data pipelines utilizing Python and PySpark.Design and implement ETL (Extract, Transform, Load) processes.Optimize and troubleshoot existing PySpark applications for enhanced performance.Collaborate with cross-functional teams to gather and understand data requirements.Write clean, efficient, and well-documented code.Conduct code reviews and engage in design discussions.Ensure data integrity and quality throughout the data lifecycle.Integrate with cloud platforms such as AWS, Azure, or Google Cloud Platform.Implement data storage solutions and manage extensive datasets.
About the job
Key Qualifications
Proven expertise in Python programming.
Practical experience with PySpark and Apache Spark.
Familiarity with Big Data technologies such as Hadoop, Hive, and Kafka.
Strong background in SQL and both relational and non-relational databases.
Understanding of distributed computing and parallel processing.
Knowledge of data engineering best practices.
Experience with REST APIs, JSON/XML, and data serialization techniques.
Exposure to cloud computing platforms.
Additionally, we prefer candidates with:
Over 5 years of experience in Python and PySpark development.
Experience managing data warehousing and data lakes.
Knowledge of machine learning libraries, such as MLlib, is a plus.
Strong analytical and debugging skills.
Excellent communication and teamwork abilities.
About gsbsolutions1
gsbsolutions1 is a forward-thinking IT services company focused on delivering innovative data solutions. With a commitment to excellence and a passion for technology, we strive to empower our clients through effective data management and analytics.