Scalable Data Architect

16 hours ago

Gandhinagar, Gujarat, India beBeeData Full time ₹ 18,00,000 - ₹ 24,00,000
Big Data Engineer Position Overview

We are seeking a highly skilled Big Data Engineer to join our team. The ideal candidate will bring strong hands-on experience in designing, architecting, and implementing scalable data engineering solutions while driving innovation.

As a key member of the team, you will be responsible for designing and developing big data architectures leveraging AWS services for large-scale, complex data processing. You will build and maintain data pipelines using Spark (Scala) for both structured and unstructured datasets. Additionally, you will architect and operationalize data engineering and analytics platforms (AWS preferred; Hortonworks, Cloudera, or MapR experience a plus).

  • Key Responsibilities:
  • Design and develop big data architectures leveraging AWS services for large-scale, complex data processing.
  • Build and maintain data pipelines using Spark (Scala) for both structured and unstructured datasets.
  • Architect and operationalize data engineering and analytics platforms (AWS preferred; Hortonworks, Cloudera, or MapR experience a plus).
  • Implement and manage AWS services including EMR, Glue, Kinesis, DynamoDB, Athena, CloudFormation, API Gateway, and S3.
  • Work on real-time streaming solutions using Kafka and AWS Kinesis.
  • Support ML model operationalization on AWS (deployment, scheduling, and monitoring).
  • Analyze source system data and data flows to ensure high-quality, reliable data delivery for business needs.
  • Write highly efficient SQL queries and support data warehouse initiatives using Apache NiFi, Airflow, and Kylo.
  • Collaborate with cross-functional teams to provide technical leadership, mentor team members, and strengthen the data engineering capability.
  • Troubleshoot and resolve complex technical issues, ensuring scalability, performance, and security of data solutions.
Mandatory Skills & Qualifications
  • Technical Requirements:
  • Solid hands-on experience in big data technologies (AWS, Scala, Hadoop and Spark mandatory)
  • Proven expertise in Spark with Scala
  • Hands-on experience with: AWS services (EMR, Glue, Lambda, S3, CloudFormation, API Gateway, Athena, Lake Formation)

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