Role: Engineer
Required Skills: Scala | SQL
Qualification: BACHELOR OF COMPUTER SCIENCE
Experience: 8 - 10 Years
Function: TECHNOLOGY
Apply By: 2026-12-07
Must Have Technical/Functional Skills
- Must have atleast 8+ years of extensive Data engineering experience in Databricks, ETL/ELT using data pipelines.
- SQL/Procesurr experience.
- Must have 8 years of hands-on development proficiency in implementing Databricks solutions using scala and spark with data frames and notebooks/sql
- Must have 8+ years of hands-on development and performance tuning/ enhancement experience in scala/pyspark and sql
- Must have strong experience with Databricks, including developing and optimizing spark jobs, data transformations, and data processing workflows
- Must have experience and a good understanding on the above topics
- Databricks delta lake storage
- Unity catalog
- Autoloader
- Lakehouse architecture
- Medallion architecture
- Databricks serverless options
- Dataset and dataframe
- Databricks clusters configuration and sizing
- Databricks job orchestration
- Spark structured streaming
Roles & Responsibilities
- Must have experience with complex and large volume data streaming and data transformations using Azure Databricks
- Must have extensive experience in datawarehouse / data lakehouse implementation
- Must have experience with monitoring, debugging, and resolving issues in kive Databricks jobs
- Must have strong hands on expertise in troubleshooting devops pipelines, azure , and AKS services
- The candidate shd be able to provide data ingestion, streaming and transformations solutions and do development work
- Experience with apache big data implementation with programming proficiency like pyspark, R or Java prior to
- Databricks is advantageous
- Good to have experience with containerization technologies such as docker and kubernetes
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: $110,000-$126,000 a year