URGENT HIRING – Senior Data Engineer – 5+ years of experience – Immediate to 15 days notice preferre

About Senzcraft :

Founded by IIM Bangalore and IEST Shibpur Alumni, Senzcraft is a hyper-automation company. Senzcraft vision is to Radically Simplify Today's Work. And Design Business Process For The Future. Using intelligent process automation technologies.

We have a suite of SaaS products and services, partnering with automation product companies.

Please visit our website - https : / / www.senzcraft.com for more details

Our AI Operations SaaS platform – https : / / MagicOps.ai

Senzcraft on linkedin ->

https : / / www.linkedin.com / company / senzcraft

Senzcraft is awarded by Analytics India Magazine in it’s report “State of AI in India” as a “Niche AI startup”. Senzcraft is also recognized by NY based SSON as a top hyper-automation solutions provider.

About the Role (Senior Data Engineer)

We are seeking

Senior Data Engineer

(5+ years of experience) profiles with strong expertise in design, build, and optimize scalable data pipelines to support

real time data ingestion and transformation . The candidate must have hands-on experience with

Apache Spark (including Spark Streaming and internals) ,

Airflow

and / or similar orchestration platform. Candidate must be proficient on

Azure

or

AWS cloud , with

Databricks

or similar toolset for data processing and analytics.

Key Responsibilities :

Design and Development of real-time data ingestion and transformation pipelines using SPARK.

Develop and orchestrate ETL workflows using

Apache

tech stack.

Collaborate with data scientists and analysts to optimize data models and queries using

SQL .

Utilize

Databricks

for advanced data processing, transformation, and integration.

Build and manage data solutions on

Azure

or

AWS

cloud environments.

Ensure reliability, scalability, and performance of data systems.

Design, develop, and maintain scalable

ETL / ELT pipelines

using

PySpark

and

Apache Spark .

Required Skills :

Hands-on experience with

Apache Spark ,

Spark Streaming , and

Spark internals .

Experience with

Airflow

for workflow orchestration.

Proficiency in

Azure

or

AWS

cloud services.

Practical experience with

Databricks

for data engineering workloads.

Familiarity with

Terraform

or

CloudFormation

will be added advantage.

Strong programming skills in

Python ,

PySpark , and

SQL .

Educational Qualification :

Bachelor’s or Master’s degree in a

technical field

such as

B.Tech, BE, MCA, or equivalent .

Experience : 5+ years

Location : Bangalore

Work Mode : Hybrid

Notice Period :

Immediate joiners preferred, up to 15 days’ notice accepted