1.0 - 4.0 years

1 - 4 Lacs

Hyderabad, Telangana, India

On-site

Design and architect enterprise-scale data platforms, integrating diverse data sources and tools. Develop real-time and batch data pipelines to support analytics and machine learning. Define and enforce data governance strategies to ensure security, integrity, and compliance. Optimize data pipelines for high performance, scalability, and cost efficiency in cloud environments. Implement solutions for real-time streaming data (Kafka, AWS Kinesis, Apache Flink). Adopt DevOps/DataOps best practices for deployment and monitoring. Required Skills: Strong experience in designing scalable, distributed data systems. Programming skills in Python, Scala, or Java. Expertise in Apache Spark, Hadoop, Flink, Kafka, and cloud platforms (AWS, Azure, GCP). Proficiency in data modeling, governance, and warehousing (Snowflake, Redshift, BigQuery). Familiarity with security/compliance standards such as GDPR and HIPAA. Hands-on experience with CI/CD tools (Terraform, CloudFormation, Airflow, Kubernetes). Experience with data infrastructure optimization using tools like Prometheus and Grafana. Nice to Have: Experience with graph databases, real-time analytics, and IoT solutions. Integration of machine learning pipelines. Contributions to open-source data engineering communities.

Posted 3 weeks ago

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