Senior Hadoop Developer
Role details
Job location
Tech stack
Job description
- 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.
Requirements
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, * 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).
Benefits & conditions
TCS Employee Benefits Summary: 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