What are the responsibilities and job description for the Senior Hadoop developer position at NuStar Technologies?
Must Have Technical/Functional Skills
Primary Skill: Hadoop, spark, python, Hive, Imapala
Secondary: SQL, ML
Experience: Minimum 10 years
Roles & Responsibilities
We are seeking a highly skilled and experienced Senior Hadoop Developer to join our team. The ideal candidate will have a strong background in Pyspark, Hadoop, and SQL. Work experience in Machine learning project is a plus.
Key Responsibilities
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $95,000 - $120,000 a year
Primary Skill: Hadoop, spark, python, Hive, Imapala
Secondary: SQL, ML
Experience: Minimum 10 years
Roles & Responsibilities
We are seeking a highly skilled and experienced Senior Hadoop Developer to join our team. The ideal candidate will have a strong background in Pyspark, Hadoop, and SQL. Work experience in Machine learning project is a plus.
Key Responsibilities
- Technically Strong in Pyspark, Hadoop and SQL.
- Design, develop, and maintaining scalable and secure software solutions.
- Collaborate with ML teams on feature engineering, data preprocessing, and optimizing data formats for model training.
- Optimize performance for large-scale distributed data processing and ML workloads.
- Collaborate with data scientists, ML engineers to ensure data is efficiently ingested, processed, and prepared for model training.
- Excellent problem-solving and communication skills.
- Mentor junior engineers and enforce best practices in coding, architecture, and data engineering.
- Education: Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
- Experience: 10 years in Hadoop ecosystem development, 2 years in data engineering for ML projects.
- Certifications: Cloudera/Hortonworks or equivalent (preferred).
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $95,000 - $120,000 a year
Salary : $95,000 - $120,000