We are hiring experienced Big Data Developers with strong expertise in Big Data technologies, Cloud platforms, and distributed data processing frameworks. The ideal candidate should have hands-on experience in designing, developing, and optimizing large-scale data pipelines and analytics solutions.
Mandatory Skills
- Big Data Development
- Hadoop Ecosystem
- PySpark
- Apache Spark
- Python
- Scala
- Cloud Platform (Any One: Azure / AWS / GCP)
Key Responsibilities
- Design, develop, and maintain scalable Big Data solutions.
- Build and optimize data processing pipelines using Spark and PySpark.
- Work with Hadoop ecosystem components for large-scale data storage and processing.
- Develop ETL workflows and data transformation processes.
- Collaborate with data engineers, architects, and business stakeholders.
- Ensure performance tuning and optimization of Big Data applications.
- Implement best practices for data quality, governance, and security.
Required Qualifications
- 6 to 15 years of IT experience with relevant experience in Big Data technologies.
- Strong hands-on experience in Hadoop, Spark, and PySpark.
- Proficiency in Python and/or Scala programming.
- Experience working with any Cloud Platform (Azure, AWS, or GCP).
- Valuable understanding of distributed computing and data processing frameworks.
- Strong problem-solving and analytical skills.
Preferred Skills
- Experience with Databricks.
- Knowledge of Hive, HBase, Kafka, or Airflow.
- Experience in Data Lake and Data Warehouse solutions.
- CI/CD and DevOps practices for data engineering.