Python Bigdata

As a Big Data Solution Developer in PySpark, your role involves designing, building, and deploying solutions using Big Data technologies such as PySpark and Python. Your ability to utilize complex analytical and problem-solving techniques will be crucial in ensuring the effective use of internal standards, architecture, testing, and best practices. You will be responsible for the full software development life cycle, ensuring on-time delivery of high-quality code with minimal production defects. Key Responsibilities: - Design, build, and deploy solutions in Big Data using PySpark - Apply complex analytical and interpretive techniques - Follow internal standards for re-use, architecture, testing, and best practices - Ensure on-time delivery of high-quality code with low production defects - Research and recommend technologies to enhance current systems - Communicate project status and risks to stakeholders - Manage time effectively and learn new skills quickly with minimal supervision - Demonstrate excellent communication and interpersonal skills at all levels - Efficiently manage work time and resources - Utilize strong problem-solving and program execution skills - Stay self-motivated and focused on delivery Qualifications Required: - Experience in Big Data tools like PySpark and Python - Strong analytical and problem-solving skills - Excellent communication skills (verbal and written) - Ability to work effectively in a team-oriented environment - Self-motivated individual with a focus on delivery This job is a full-time position with an unspecified number of years of experience required. As a Big Data Solution Developer in PySpark, your role involves designing, building, and deploying solutions using Big Data technologies such as PySpark and Python. Your ability to utilize complex analytical and problem-solving techniques will be crucial in ensuring the effective use of internal standards, architecture, testing, and best practices. You will be responsible for the full software development life cycle, ensuring on-time delivery of high-quality code with minimal production defects. Key Responsibilities: - Design, build, and deploy solutions in Big Data using PySpark - Apply complex analytical and interpretive techniques - Follow internal standards for re-use, architecture, testing, and best practices - Ensure on-time delivery of high-quality code with low production defects - Research and recommend technologies to enhance current systems - Communicate project status and risks to stakeholders - Manage time effectively and learn new skills quickly with minimal supervision - Demonstrate excellent communication and interpersonal skills at all levels - Efficiently manage work time and resources - Utilize strong problem-solving and program execution skills - Stay self-motivated and focused on delivery Qualifications Required: - Experience in Big Data tools like PySpark and Python - Strong analytical and problem-solving skills - Excellent communication skills (verbal and written) - Ability to work effectively in a team-oriented environment - Self-motivated individual with a focus on delivery This job is a full-time position with an unspecified number of years of experience required.