Country/Region:
IN
Requisition ID:
23548
Work Model:
Position Type:
Salary Range:
Location:
INDIA - CHENNAI - BIRLASOFT OFFICE
Title: Technical Specialist-Data Engg
Description:
Area(s) of responsibility
Experience & Technical Requirements:
- 5+ years of experience in developing production-ready data ingestion and processing pipelines using Python, SQL Programming.
- 3+ years of experience in ETL/ELT pipeline development with DBT and Snowflake.
- Strong hands-on experience with Airflow is preferrable`
- Recent experience as a Senior Data Engineer in public cloud environments (preferably Azure) and cloud warehouses like Snowflake.
- Proven experience in cloud-native solutions with Azure, including DevOps CI/CD tools and containers.
- Ability to design scalable data pipelines using modern cloud data stack technologies.
- Strong analytical skills for technical metadata, pipeline logs, and data lineage to support data platform operations.
- Collaborate with cross-functional teams to define observability requirements related to SLA, operational needs, data quality, and proactive monitoring.
- Able to demonstrate experience with software engineering practices including CI/CD, Automated testing and Performance Engineering.
- Good communication, problem solving and troubleshooting skills.
Skills with M/O flag are part of Specialization
Programming/Software Development -PL3 (Functional)
Systems Integration And Build -PL3 (Functional)
Help the tribe -PL2 (Behavioural)
Think Holistically -PL2 (Behavioural)
Database Design -PL1 (Functional)
Win the Customer -PL2 (Behavioural)
Data Visualisation -PL2 (Functional)
One Birlasoft -PL2 (Behavioural)
Data Management -PL2 (Functional)
Results Matter -PL2 (Behavioural)
Data Governance -PL1 (Functional)
Get Future Ready -PL2 (Behavioural)
Requirements Definition And Management -PL2 (Functional)
Test Execution -PL2 (Functional)
Data Engineering -PL3 (Functional)
Data Modelling And Design -PL2 (Functional)
MS SQL - PL4 (Mandatory)
Python - PL4 (Mandatory)
Kafka - PL3 (Optional)
AWS Datapipeline - PL2 (Optional)
PYSPARK - PL3 (Mandatory)
Unix Shell Scripting - PL2 (Optional)
Unix - PL2 (Optional)
Azure Databricks - PL2 (Optional)