Sr Technical Lead-Data Engg

Birlasoft; Hinoba-an; On-site; PHP 1,979,000 - 3,958,000; Full time

Job summary

Birlasoft in Bengaluru, India seeks a Sr Technical Lead-Data Engg to lead ETL/Snowflake projects. You will design data pipelines, optimize Snowflake, model data, and ensure quality governance while collaborating across teams.

Required skills include Snowflake, CDC tools, strong SQL, Azure, Python/Scala, and orchestration with Airflow or cloud-native tools. On-site role with modern data tech stack.

Qualifications

• Experience with Snowflake-oriented data engineering and ETL pipelines.
• Hands-on with CDC tools such as Debezium, Fivetran, Qlik Replicate or similar.
• Strong SQL skills and data modeling experience.
• Proficiency with at least one cloud platform (Azure preferred).
• Experience with Python or Scala for ELT/orchestration and CI/CD tooling.

Responsibilities

• Data Pipeline Development
• Snowflake Architecture & Modeling
• Data Integration & Streaming
• Data Quality & Governance
• Collaboration & Documentation

Skills

Snowflake

SQL expertise

Python/Scala

CI/CD

Orchestration

Tools

SnowSQL

Snowpark

Snowpipe

Streams & Tasks

Azure

Airflow

Azure Data Factory

GCP Composer

AWS Glue

CDC Tools

Job description

Location: INDIA - BENGALURU - BIRLASOFT OFFICE

Title: Sr Technical Lead-Data Engg

Area(s) of responsibility

JD - ETL Snowflake Sr. Tech lead

Key Responsibilities

1. Data Pipeline Development

2. Snowflake Architecture & Modeling

3. Data Integration & Streaming

4. Data Quality & Governance

5. Collaboration & Documentation

Required Skills & Experience

Core Technical Skills

• Snowflake (must have):
  — SnowSQL, Snowpark, Snowpipe, Streams & Tasks
  — Performance optimization
  — Data modeling
• CDC Tools (at least one):
  — Debezium, Fivetran, Qlik Replicate, AWS DMS, HVR, Informatica CDC, StreamSets
• Strong SQL expertise (analytical functions, query tuning).
• Hands‑on with one cloud platform : Azure.
• Experience with Python or Scala for ELT/Orchestration.
• CI/CD and orchestration tools (Airflow , Azure Data Factory , GCP Composer, AWS Glue, etc.)