Cloud Data Architect

4 months ago


pune, India InfoCepts Full time
Position : Cloud Data Architect
Purpose of the Position:
You will be a critical member of the InfoCepts Cloud Data Architect Team. This position requires a sound knowledge on Big Data using Cloud technologies, EMR, Athena, Spark-Scala, PySpark, S3, AWS Lambda etc. Strong foundation on database concepts and SQL is also required.
Location: Pune/Nagpur
Key Result Areas and Activities:
Study existing technology landscape and understand current data integration framework and do impact assessment for the requirements
Should be able to design complex Big Data use cases using AWS Services
Should be able to reason about various architecture choices in terms of: Cost, Performance and Durability
Should be able to suggest optimizations in existing designs
Ensure optimal balance between cost and performance
Project documentation, Adheres to Quality guidelines & Schedules
Works hand in hand with PM for successful delivery of project and provide Estimation, scoping, scheduling assistance
Effectively communicate architectural decisions to stakeholders
Articulate design decisions very clearly with stakeholders
Perform Proof-of-Concepts and document all observations before proposing a new solution.
Conduct design review sessions with other teams and identify scope of improvement.
Suggests automation to improve existing processes
Assist other Data Engineers by providing expert advice or troubleshooting steps whenever required
Keep suggesting new ways to improve team productivity
Create technology focused training plans whenever required
Deliver technology focused training sessions with team members whenever required
Conduct Expert Knowledge Sharing sessions with Client Stakeholders whenever required
Assist in RFPs for other Accounts whenever required
Assist in designing case study documents whenever required
Work and Technical Experience:
Essential Skills:
Overall, 9+ years of IT Exp
5+ years of AWS related project
In depth knowledge of following AWS Services required: S3, EC2, EMR, Athena, AWS Glue, Lambda.
Cloud Databases (Good to have) – AWS Aurora
MPP Databases (anyone) – AWS Redshift, Snowflake, SingleStore
Big Data (Must have) – Apache Spark
Programming Language (Must have) – Scala, Python
Big Data Table formats (Must have at least one) – Delta Lake (open source), Apache Iceberg
Operating System (Must have) - Any flavor of Linux, Windows
Must have very strong SQL Skills
Orchestration Tools (Must have): Apache Airflow
Expertise in developing ETL workflows comprising complex transformations like SCD, deduplications, aggregations etc.
Should have thorough conceptual understanding of AWS VPC, Subnets, Security Groups, & Route Tables
Should be a quick and self-learner and be ready to adapt to new AWS Services or new Big Data Technologies as and when required.
Should know Data Fabric and Data Mesh concepts.
Should know Data Warehousing concepts very well
Desirable Skills:
Good to have cleared Associate Level or Professional Level AWS Certification
Big Data (Good to Have) – Hadoop, Hive
Programming Language (Good to have) – Java, Bash
Big Data Platform (Good to have) – Databricks
Qualifications:
Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus)
Demonstrated continued learning through one or more technical certifications or related methods.
At least 10 years of IT experience; Minimum 5 years of experience on Cloud related projects
Qualities:
Hold strong technical knowledge and experience
Should have the capability to deep dive and research in various technical related fields
Self-motivated and focused on delivering outcomes for a fast growing team and firm
Able to communicate persuasively through speaking, writing, and client presentations
Able to consult, write, and present persuasively
Able to work in a self-organized and cross-functional team
Able to iterate based on new information, peer reviews, and feedback
Prior experience of working in a large media company would be added advantage
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