- Design end-to-end data analytics architectures, including data ingestion, storage, processing, and visualization components, to support business objectives and requirements.
- Evaluate and select appropriate technologies, tools, and frameworks, such as Hadoop, Spark, Kafka, and migration tools, to meet scalability, performance, and reliability requirements.
- Develop data pipelines and ETL processes to extract, transform, and load data from various sources into data lakes, warehouses, or other storage solutions.
- Implement real-time data processing solutions using technologies like Kafka and Spark Streaming to enable timely insights and decision-making.
- Architect data governance frameworks and MDM solutions to ensure data quality, consistency, and compliance with regulatory requirements.
- Collaborate with data engineers, data scientists, and business analysts to understand data requirements and use cases and translate them into technical specifications and designs.
- Optimize data architectures and processes for performance, scalability, and cost-effectiveness, leveraging cloud-based platforms such as AWS, Azure, or GCP.
- Lead migration projects to modernize legacy data systems and applications, ensuring seamless data migration and minimal disruption to business operations.
- Provide technical leadership and guidance to development teams, including mentoring junior architects and engineers and conducting knowledge sharing sessions.
- Stay current with emerging trends and best practices in data analytics, big data technologies, and cloud computing to drive continuous innovation and improvement.
- Bachelor's or master's degree in computer science, information systems, or a related field.
- Proven experience as a data architect, data engineer, or similar role, with a focus on designing and implementing data analytics solutions.
- Strong proficiency in big data technologies and frameworks, including Hadoop, Spark, Kafka, and migration tools.
- Experience with ETL tools and processes for data integration and transformation, such as Apache NiFi, Informatica, or Talend.
- Knowledge of MDM concepts and tools for managing master data and metadata across the enterprise.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP, and familiarity with related services such as S3, EMR, Databricks, and Data Lake Storage.
- Excellent problem-solving skills and the ability to architect complex data solutions to meet business requirements and technical constraints.
- Strong communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels of the organization.
- Experience with agile methodologies and DevOps practices for continuous integration and deployment is a plus.
- Certification in relevant technologies or frameworks, such as Cloudera, Hortonworks, or AWS Big Data, is desirable.
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Data Analytics Architect - Hyderabad, India - SID Global Solutions
Description
Title: Data Analytics Architect
Location: Hyderabad
Mode: Work from Office (5 Days)
Experience: 10+ years
We are seeking a highly skilled Data Analytics Architect to join our team. As a Data Analytics Architect, you will be responsible for designing and implementing scalable, high-performance data analytics solutions using technologies such as Hadoop, Spark, Kafka, migration tools, ETL (Extract, Transform, Load), and MDM (Master Data Management). You will collaborate with cross-functional teams to understand business requirements, define data architectures, and develop innovative solutions that enable data-driven decision-making and insights generation.
Responsibilities:
Qualifications: