Sr. Data Engineer

Wissen Technology

Pune District

On-site

INR 1,400,000 - 2,100,000

Full time

2 days ago

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Job summary

Wissen Technology is hiring a Sr. Data Engineer in Pune to design, optimize, and maintain scalable data pipelines. The candidate will work with Python, PySpark, and Databricks, with hands-on Azure Databricks and Kafka experience to ensure high-performance data processing.

We expect 5–10 years of experience, a B.Tech/B.Tech in CS or related field, and readiness to operate in a full-time Pune-based role. Exposure to CI/CD via Jenkins and production data pipelines is required.

Qualifications

Candidate should be good with SQL base.
Python, PySpark and Databricks come first in order of priority.
Proficiency in PySpark, Pandas, and SQL.
Experience with Azure Databricks.
Strong hands-on experience with Apache Kafka (real-time streaming).
Experience with workflow orchestration tools.
Exposure to CI/CD tools such as Jenkins.
Experience handling production data pipelines.

Responsibilities

Candidate Should be good with SQL base.
Python, Pyspark and Databricks come first in order of priority
Proficiency in PySpark, Pandas, and SQL
Experience with Azure Databricks
Strong hands-on experience with Apache Kafka (real-time streaming)
Experience with workflow orchestration tools
Exposure to CI/CD tools such as Jenkins
Experience handling production data pipelines.

Skills

Python

PySpark

Databricks

SQL

Pandas

Kafka

Education

B.Tech/M.Tech in Computer Science or related field

Tools

Azure Databricks

Apache Kafka

Jenkins

Job description

Wissen Technology is hiring for Sr. Data Engineer

About Wissen Technology:

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting‑edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission‑critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome‑based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top‑tier talent. Our mission is clear: to be the partner of choice for building world‑class custom products that deliver exceptional impact—the first time, every time.

Job Summary:

We are seeking a skilled Data Engineer with strong expertise in Python, PySpark, Databricks, and SQL to build, optimize, and maintain scalable data pipelines. The ideal candidate will have hands‑on experience with Azure Databricks, Apache Kafka, CI/CD practices, and production‑grade data pipeline development, ensuring reliable and high‑performance data processing solutions.

Experience

5 - 10 Years

Location

Pune

Mode of Work

Full Time

Education

B.Tech/M.Tech in Computer Science or related field

Key Responsibilities:

Candidate Should be good with SQL base.
Python, Pyspark and Databricks come first in order of priority
Proficiency in PySpark, Pandas, and SQL
Experience with Azure Databricks
Strong hands‑on experience with Apache Kafka (real‑time streaming)
Experience with workflow orchestration tools
Exposure to CI/CD tools such as Jenkins
Experience handling production data pipelines. More implicit is that candidates have deployed data pipelines in production, and it was not a POC.

Required Skills