Engineer
Indexed description
Must Have Technical/Functional Skills
- Strong hands-on experience with Apache Spark and PySpark.
- Experience with Big Data ecosystems such as Hadoop, Hive, HDFS, and Kafka.
- Proficiency in SQL and relational databases.
- Strong understanding of distributed computing and performance tuning.
- Experience with version control tools such as Git.
- Knowledge of Linux/Unix environments.
- Strong problem-solving and analytical skills.
- Good understanding of GenAI concepts and applications
- Ability to identify opportunities to leverage AI and implement AI-driven solutions where appropriate
- Exposure to Data Products, Metadata Management, Knowledge Graphs, Ontology, or Semantic Technologies will be an added advantage
- Develop and maintain data processing applications using Python and Apache Spark (PySpark).
- Design, build, and optimize ETL/ELT pipelines for large-scale datasets.
- Process and analyze structured, semi-structured, and unstructured data from multiple sources.
- Implement data transformation, cleansing, and validation frameworks.
- Collaborate with Data Engineers, Data Scientists, Business Analysts, and stakeholders to understand business requirements.
- Optimize Spark jobs for performance, scalability, and reliability.
- Develop reusable components and data processing frameworks.
- Monitor and troubleshoot production issues related to Spark applications.
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.
- Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
- Time Off: Vacation, Time Off, Sick Leave & Holidays.
Qualifications: BACHELOR OF COMPUTER SCIENCE
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search