Hyderabad, Telangana, India
Information Technology
Full-Time
Amantya Technologies
Overview
Responsibilities
- Lead and mentored a team of Python developers.
- Design, develop, and maintain highly scalable data processing applications.
- Write efficient, reusable, and well-documented code.
- Deliver big data projects using Spark, Scala, Python, SQL, HQL, and Hive.
- Leverage data pipelining application to package work.
- Maintain and tune existing Hadoop applications.
- Work closely with QA, Operations, and various teams to deliver error-free software on time.
- Perform code reviews and provide constructive feedback.
- Actively participate in daily agile / scrum meetings.
- Design, develop, and maintain highly scalable data processing applications.
- Write efficient, reusable, and well-documented code.
- Deliver big data projects using Spark, Scala, Python, SQL, HQL, and Hive.
- Leverage data pipelining application to package work.
- Maintain and tune existing Hadoop applications.
- Work closely with QA, Operations and various teams to deliver error-free software on time.
- Actively participate in daily agile / scrum meetings.
- 7+ years of software development experience with Hadoop framework components(HDFS, Spark, PySpark, Sqoop, Hive, HQL, Spark, Scala).
- Experience in a leadership or supervisory role.
- 4+ years of experience using Python, SQL, and shell scripting.
- Experience in developing and tuning spark applications.
- Excellent understanding of spark architecture, data frames, and tuning spark.
- Strong knowledge of database concepts, systems architecture, and data structures is a must.
- Process-oriented with strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Bachelor's degree in Computer Science or related field.
- 5+ years of software development experience with Hadoop framework components(HDFS, Spark, PySpark, Sqoop, Hive, HQL, Spark, Scala).
- 4+ years of experience using Python, SQL, and shell scripting.
- Experience in developing and tuning spark applications.
- Excellent understanding of spark architecture, data frames, and tuning spark.
- Strong knowledge of database concepts, systems architecture, and data structures is a must.
- Process-oriented with strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Bachelor's degree in Computer Science or related field.
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