AWS Data Architect

Coforge

Hyderabad, India

12-15 Years

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Posted 5 months ago
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Job Description

Job Title: AWS Data Architect

Skills: Python, Airflow, AWS Services S3, Spark(Glue, EMR), Kafka (SQS, Event Bridge), Integration (AppFlow, APIs), DW Concepts & Data Modeling experience

Experience Required: 12 - 15 years

Job Location: Hyderabad Only

We at Coforge are hiring AWS Data Architects with following skillset:

Lead Data Architect with a strong background in AWS, Python, and data engineering.
Lead a team of data engineers and architects, providing technical guidance and mentorship.
Your expertise will shape our data strategy, ensuring efficient data processing, storage, and analytics.
Lead a team of data engineers and architects, providing technical guidance and mentorship.
Develop and execute a strategic roadmap for data processing, storage, and analytics in alignment with organizational goals.
Candidate should possess a deep understanding of AWS cloud services, data architecture with a proven track record of leading data-driven projects to successful completion.
Design, implement, and maintain robust data pipelines using Python and Airflow, ensuring efficient data flow and transformation for analytical and operational purposes.
Utilize AWS services, including S3 for data storage, Glue and EMR for data processing, and orchestrate data workflows that are scalable, reliable, and secure.
Implement real-time data processing solutions using Kafka, SQS, and Event Bridge, addressing high-volume data ingestion and streaming needs.
Oversee the integration of diverse systems and data sources through AppFlow, APIs, and other integration tools, ensuring seamless data exchange and connectivity.
Lead the development of data warehousing solutions, applying best practices in data modelling to support efficient data storage, retrieval, and analysis.
Continuously monitor, optimize, and troubleshoot data pipelines and infrastructure, ensuring optimal performance and scalability.
Ensure adherence to data governance, privacy, and security policies, implementing measures to protect sensitive data and comply with regulatory requirements.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
10 to 15 years of experience in data engineering, with at least 3 years in a leadership role.
Proficient in Python programming and experience with Airflow for workflow management.
Strong expertise in AWS cloud services, particularly in data storage, processing, and analytics (S3, Glue, EMR, etc.).
Experience with real-time streaming technologies like Kafka, SQS, and Event Bridge.
Solid understanding of API based integrations and familiarity with integration tools such as AppFlow.
Deep knowledge of data warehousing concepts.