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Solutions Architect
Solutions ArchitectConfidential • Pune
Solutions Architect

Solutions Architect

Confidential • Pune
30+ days ago
Job description

We are seeking a highly skilled Solutions Architect with 5+ years of experience in Data Engineering, specializing in AWS platforms, Python, and SQL. You will be responsible for designing and implementing scalable, cost-effective data pipelines on AWS, optimizing data storage, and supporting the ingestion and transformation of large datasets for business reporting and AI / ML exploration. This role requires strong functional understanding of client requirements, the ability to deliver optimized datasets, and adherence to security and compliance standards.

Roles & Responsibilities :

  • Design and implement scalable, cost-effective data pipelines on the AWS platform using services like S3, Athena, Glue, RDS, etc.
  • Manage and optimize data storage strategies for efficient retrieval and integration with other applications.
  • Support the ingestion and transformation of large datasets for reporting and analytics.
  • Develop and maintain automation scripts using Python to streamline data processing workflows.
  • Integrate tools and frameworks like PySpark to optimize performance and resource utilization.
  • Implement monitoring and error-handling mechanisms to ensure reliability and scalability of data solutions.
  • Work closely with onsite leads and client teams to gather and understand functional requirements.
  • Collaborate with business stakeholders and the Data Science team to provide optimized datasets suitable for Business Reporting and AI / ML Exploration .
  • Document processes, provide regular updates, and ensure transparency in deliverables.
  • Optimize AWS service utilization to maintain cost-efficiency while meeting performance requirements.
  • Provide insights on data usage trends and support the development of reporting dashboards for cloud costs.
  • Ensure secure handling of sensitive data with encryption (e.g., AES-256, TLS) and role-based access control using AWS IAM.
  • Maintain compliance with organizational and industry regulations for data solutions.

Skills Required :

  • Strong emphasis on AWS platforms .
  • Hands-on expertise with AWS services such as S3, Glue, Athena, RDS, etc.
  • Proficiency in Python for building Data Pipelines for ingesting data and integrating it across applications.
  • Strong proficiency in SQL .
  • Demonstrated ability to design and develop scalable Data Pipelines and Workflows.
  • Strong problem-solving skills and the ability to troubleshoot complex data issues.
  • Preferred Skills :

  • Experience with Big Data technologies , including Spark, Kafka, and Scala, for Distributed Data processing.
  • Hands-on expertise in working with AWS Big Data services such as EMR, DynamoDB, Athena, Glue, and MSK (Managed Streaming for Kafka).
  • Familiarity with on-premises Big Data platforms and tools for Data Processing and Streaming.
  • Proficiency in scheduling data workflows using Apache Airflow or similar orchestration tools like One Automation, Control-M, etc.
  • Strong understanding of DevOps practices , including CI / CD pipelines and Automation Tools.
  • Prior experience in the Telecommunications Domain , with a focus on large-scale data systems and workflows.
  • AWS certifications (e.g., Solutions Architect, Data Analytics Specialty) are a plus.
  • QUALIFICATION :

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field, or equivalent practical experience.
  • Skills Required

    Python, Sql, Big Data Technologies, Apache Airflow, Devops, Pyspark

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