Big Data Developer
Hyderabad, Telangana, India
- Experience
- 6–25 years
- Employment
- Full-time
- Work mode
- Hybrid
- Salary
- ₹8 L–18 L / year
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-06-12
Required skills
| Skill | Experience | Level |
|---|---|---|
| PySpark | 6+ years | Not specified |
| Jenkins | 6+ years | Advanced |
| Java (All Versions) | 6+ years | Not specified |
| AWS | 6+ years | Not specified |
| Apache Scala | 6+ years | Advanced |
About the role
We are seeking an experienced Big Data Developer to join our team at Binary Infoways. As a Big Data Developer, you will be responsible for designing, developing, and implementing large-scale data processing systems. You will work closely with our data science team to identify business requirements and develop solutions to meet those needs. Your expertise in - AWS (EMR, S3, Glue, Airflow, RDS, Dynamodb, similar) CICD (Jenkins or another) Relational Databases experience (any) , No SQL databases experience (any),
Mandatory Requirements:
Pyspark
Scala / Java
AWS
Jenkins
Requirement:
Our requirements for this role include:
- Minimum6 years of experience and maximum25 years of experience in big data development
- Strong knowledge of big data technologies such as Hadoop, Spark, and NoSQL databases
- Experience with programming languages such as Java, Python, or Scala
- Strong understanding of data processing and analysis
- Job type: Payroll
- Budget: ₹1,800,000 per annum
- Hybrid (4 days WFH/ 1 WFO) - Hyderabad
Role and responsibility:
As a Big Data Developer at Binary Infoways, your roles and responsibilities will include:
- Designing, developing, and implementing large-scale data processing systems using big data technologies such as Jenkins and Spark
- Collaborating with data scientists to identify business requirements and develop solutions to meet those needs
- Ensuring the scalability, reliability, and performance of our data systems
- Developing and maintaining large-scale data warehouses and data lakes
- Troubleshooting and optimizing data processing workflows to improve efficiency and reduce costs