Pipeline Development:
Build fault-tolerant batch and streaming data pipelines (e.g., using Apache Spark, Kafka, Airflow) on AWS, Azure, or GCP.
Cloud Architecture:
Design and deploy scalable cloud-native data ecosystems (data lakes, warehouses).
Data Modeling & Quality:
Design optimized schemas and implement automated data quality checks and validation.
Performance Optimization:
Fine-tune ETL workflows and data storage for maximum performance and cost efficiency.
Leadership:
Provide technical leadership, conduct code reviews, and mentor junior data engineers.
Security & Compliance:
Ensure data governance, security, and compliance standards are met.
Required Skills and Qualifications
Experience:
Typically 5-15+ years in data engineering, with 2-5+ years in cloud platforms (AWS, Azure, or GCP).
Languages:
Expert-level proficiency in SQL and Python.
Big Data Tech:
Proficiency in Spark/PySpark, Hadoop, Kafka, or similar.
Cloud Services:
Hands-on experience with cloud services such as AWS Glue/Redshift, Azure Data Factory/Synapse, or Google Cloud Dataflow/BigQuery.
Database:
Strong knowledge of SQL and NoSQL databases.
DevOps/DataOps:
Familiarity with CI/CD tools, Infrastructure as Code (e.g., Terraform), and containers (Docker/Kubernetes).
If you are Interested in the above opportunity kindly share your updated resume to
pullagura.gokulsaiakhil@tcs.com
immediately with the details below (Mandatory)
Name:
Contact No.
Email id:
Skillset:
Total exp:
Relevant Exp:
Fulltime highest qualification (Year of completion with percentage scored):
Current organization details (Payroll company):
Current CTC:
Expected CTC:
Notice period:
Current location:
Preffered Location
Any gaps between your education or career (If yes pls specify the duration):
Will you be able to join within 30/45 days? (Yes/NO)
ATS Match is available
1) Upload your resume. 2) Open any job and click Check ATS Match to see your fit score.