Role: Senior Engineer
Required Skills: Big Data
Experience: 8 - 10 Years
Function: TECHNOLOGY
Apply By: 2026-11-15
Must Have Technical/Functional Skills
Must Have Skills:
- Databricks (Notebooks, Delta Lake, Delta Live Tables, Unity Catalog)
- Python and PySpark
- Spark SQL and Apache Spark
- ETL/Data Pipeline Development
- Big Data technologies: Hadoop, Spark, Kafka, Hive, HDFS, Sqoop
- Strong SQL querying and data modeling
- Data ingestion, transformation, cleansing, and validation
- Cloud platforms (AWS/GCP)
- Data warehouse and large-scale data processing experience
- Experience with streaming data using Kafka and Spark Streaming
- Agile methodologies (Scrum, Kanban, SAFe)
Preferred Skills:
- Scala / Scala-Spark
- IBM DataStage, Tibco, or similar ETL tools
- AWS services: S3, Glue, Lambda, Kinesis/MSK
- BI Tools: Tableau, Power BI, Spotfire, OAC
- Databases: Teradata, DB2, BigQuery, Mainframe
- Git version control
- Data governance and retention modeling
Roles & Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL solutions.
- Build and optimize data ingestion frameworks for structured and unstructured data.
- Implement data quality, validation, standardization, and governance processes.
- Develop data infrastructure integrating multiple heterogeneous data sources.
- Support analytics, reporting, machine learning, and business intelligence initiatives.
- Work with Data Scientists and BI teams to prepare and curate data for analytics.
- Develop scalable solutions for Big Data processing and streaming workloads.
- Analyze data and provide actionable insights and recommendations to business stakeholders.
- Gather requirements from business teams and translate them into technical solutions.
- Lead and mentor junior data engineers.
- Collaborate across multiple projects as the Data Engineering SME.
- Drive adoption of Data Engineering best practices and standards.
Salary Range-$100,000-$135,000 a year
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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.