Python Developer - Algobrain
Jersey City, NJ 07302
About the Job
This is a Hybrid opportunity, 3 days a week in the office
This is a Full Time Salaried Opportunity
As a Python Developer, you will be responsible for developing scalable data processing applications and analytics solutions using Python along with Hadoop and distributed database technologies. You will collaborate with data engineers, analysts, and other stakeholders to build and enhance data pipelines and applications.
Responsibilities:
Design and implement data processing solutions using Python within a Hadoop ecosystem.
Develop and maintain data pipelines to ingest, process, and analyze large datasets.
Work with distributed databases such as HBase, Cassandra, or similar technologies to store and retrieve data efficiently.
Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.
Optimize data storage and processing for performance and scalability.
Write clean, reusable, and well-documented code following best practices.
Conduct code reviews and provide constructive feedback to team members.
Troubleshoot and resolve issues in data pipelines and applications
Required Skills:
Proven experience as a Python Developer, with a strong focus on data processing.
Hands-on experience with Hadoop and its ecosystem (e.g., Hive, Pig, Spark).
Familiarity with distributed databases (e.g., HBase, Cassandra) and data modeling techniques.
Strong understanding of data structures and algorithms.
Experience with version control systems (e.g., Git).
Knowledge of data warehousing concepts and ETL processes is a plus.
Excellent problem-solving skills and attention to detail.
Preferred Qualifications:
Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Understanding of Agile development methodologies.
Strong communication skills and the ability to work collaboratively in a team environment.
This is a Full Time Salaried Opportunity
As a Python Developer, you will be responsible for developing scalable data processing applications and analytics solutions using Python along with Hadoop and distributed database technologies. You will collaborate with data engineers, analysts, and other stakeholders to build and enhance data pipelines and applications.
Responsibilities:
Design and implement data processing solutions using Python within a Hadoop ecosystem.
Develop and maintain data pipelines to ingest, process, and analyze large datasets.
Work with distributed databases such as HBase, Cassandra, or similar technologies to store and retrieve data efficiently.
Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.
Optimize data storage and processing for performance and scalability.
Write clean, reusable, and well-documented code following best practices.
Conduct code reviews and provide constructive feedback to team members.
Troubleshoot and resolve issues in data pipelines and applications
Required Skills:
Proven experience as a Python Developer, with a strong focus on data processing.
Hands-on experience with Hadoop and its ecosystem (e.g., Hive, Pig, Spark).
Familiarity with distributed databases (e.g., HBase, Cassandra) and data modeling techniques.
Strong understanding of data structures and algorithms.
Experience with version control systems (e.g., Git).
Knowledge of data warehousing concepts and ETL processes is a plus.
Excellent problem-solving skills and attention to detail.
Preferred Qualifications:
Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
Familiarity with containerization technologies (e.g., Docker, Kubernetes).
Understanding of Agile development methodologies.
Strong communication skills and the ability to work collaboratively in a team environment.
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Source : Algobrain