LiveHybridFull-timeApply by 1 Nov 2026
Data Software Engineer
Pune, India
- Experience
- 5–12 years
- Employment
- Full-time
- Work mode
- Hybrid
- Salary
- ₹12 L–40 L / year
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-08-07
Required skills
| Skill | Experience | Level |
|---|---|---|
| Python | 5+ years | Advanced |
| Apache Spark | 5+ years | Advanced |
| PySpark | 3+ years | Not specified |
| AWS | 3+ years | Not specified |
| GCP | 3+ years | Not specified |
| Azure | 3+ years | Not specified |
| Apache-Kafka | 3+ years | Not specified |
| Azure DataBricks | 5+ years | Intermediate |
About the role
Data Software Engineer - Spark, Python, (AWS, Kafka or Azure Databricks or GCP)
Job Description:
- 5-12 Years of in Big Data & Data related technology experience
- Expert level understanding of distributed computing principles
- Expert level knowledge and experience in Apache Spark
- Hands on programming with Python
- Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
- Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
- Experience with messaging systems, such as Kafka or RabbitMQ
- Good understanding of Big Data querying tools, such as Hive, and Impala
- Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
- Good understanding of SQL queries, joins, stored procedures, relational schemas
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge of ETL techniques and frameworks
- Performance tuning of Spark Jobs
- Experience with native Cloud data services AWS or AZURE Databricks
- Ability to lead a team efficiently
- Experience with designing and implementing Big data solutions
- Practitioner of AGILE methodology