AWS Data Architech @ Kan Infocom Solution

Job Description

Dear Candidate,

We are hiring for AWS Data Architech

Experience : 3 to 7 year

Qualification : Diploma

Annual CTC : 4 TO 15 LPA

Location : Noida

JOB DESCRIPTION:

• Bachelors/ masters degree in computer science or equivalent.
• 8 to 12 Years Hands-on experience in a professional role building Data Engineering product.
• Expert in On Prem/AWS Cloud Data Management, Big Data, Data Integrations, Data Migration, Data Accuracy, Application Integration, Data Governance, Coding, Data Warehouse, Data Lake, Data Management and MDM etc.
• Design and implement end-to-end data solutions (storage, integration, processing, visualization)
• Demonstrated creative problem-solving ability
• Ability to work effectively independently as well as in a team environment
  

Responsibilities:

• Architect and implement ETL and data movement solutions like ELT/ETL/Data pipelines.
• Apply industry best practices, security, manage compliance, adopt appropriate design patterns etc.
• Able to work and manage tests, monitors, manage and validate data warehouse activity including data extraction, transformation, movement, loading, cleansing, and updating processes.
• Architect, Design and implement database solutions related to Big Data, Real-time/ Data Ingestion, Data Warehouse, SQL/NoSQL
• Architect, Design and implement automated workflows and routines using workflow scheduling tools
• Identify and automate to optimize the performance.
• Conduct appropriate functional and performance testing to identify bottlenecks and data quality issues.
• Be able to implement slowly changing dimensions as well as transaction, accumulating snapshot, and periodic snapshot fact tables.
• Collaborate with business users, EDW team members, and other developers throughout the organization to help everyone understand issues that affect the data warehouse.

Technical Skillset as detailed below:

• Experience with Data Warehousing, Data Lake, Analytic processes, and methodologies.
  Proficient in writing and optimizing SQL queries and other procedures/scripts
• Strong knowledge of data integration (ETL/ELT), data quality and multi-dimensional design.
• Hand on experience in any of programming language like Java, Python, or Scala
• Solid understanding of/experience with streaming solutions
• AWS Infra Sizing & estimation
  Must have:
• DWH, Data Lake, Spark, Python, AWS Glue, AWS S3, AWS Redshift, Sage Maker, AppFlow, Data Lake Formation, AWS Security, Lambda, EMR, SQL

Good to have:

• Cloud Formation, VPC, Java, Snowflake, Talend, RDS, Data Bricks

THANKS & REGARDS

HR

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   data architecture software engineering aws