Data Architect - Delhi, India - Srijan Technologies PVT LTD

Srijan Technologies PVT LTD

Verified Company

Delhi, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

About Material

Material is a global strategy, insights, design, and technology partner to companies striving for true customer centricity and ongoing relevance in a digital first, customer-led world.

By leveraging proprietary, science-based tools that enable human understanding, we inform and create customer-centric business models and experiences + deploy measurement systems - to build transformational relationships between businesses and the people they serve.

About Srijan

Srijan is a global engineering firm that builds transformative digital paths to better futures for Fortune 500 enterprises to nonprofits all over the world.

Srijan brings advanced engineering capabilities and agile practices to some of the biggest names across FMCG, Aviation, Telecom, Technology, and others.

We help businesses embrace the digital future with cloud, data, API and platform centric technologies and adapt to changing business models and market demands.

Srijan leads in Drupal with 350+ Drupal engineers, 80+ Acquia certifications. Srijan is also a Drupal Enterprise Partner & Diamond Certified

Job description:

Experience in service architecture, development, and high performance and scalability.
Experience in Spark, SQL performance tuning, and optimization.
Good handson experience in AWS
Indepth understanding of Spark Hive Frameworks and their internal architecture
Strong programming background with Java / Python.
Practical exposure to endtoend design and implementation process of Near-RealTime and Batch Data Pipelines.
Strong SQL (Hive/Spark) skills and experience tuning complex queries
Excellent understanding of AWS storage, and its compute services. Able to effectively use of AWS managed services
Step function, EMR, Lambda, Glue and Athena.
Handson experience on Data Lake and ETL pipeline development
Expertise on designing and building new Cloud Data platform and its optimization at organization level.
Handson experience in Big Data technologies
Hadoop, Sqoop, Hive and Spark including DevOps.

Must Have:

years of big data technologies or data platform architecture experience with deep technology expertise in Hive, HDFS, Spark, Kafka, Java, or Scala,Python, Pyspark etc.

Experience in service architecture, development, and high performance and scalability.
Experience in Spark, SQL performance tuning, and optimization.
Expertise in design and management of complex data structures and data processes like ETL/ELT.
Expertise in managing and operating distributed big data systems, including but not limited to the Hadoop ecosystem.
A deep understanding of issues in multiple areas such as data acquisition and processing, data management, distributed processing, and high availability is required.
Knowledge of Teradata.
Expertise on designing and building new Cloud Data platform and it s optimization at organization level.
Strong past experience on designing AWS data lake and surrounding ecosystem development.

Good to have

Understanding of sage maker and ML algorithms
Experience in migrating workloads from onpremise to cloud and cloud to cloud migrations
Experience on AWS services like RDS, DynamoDB, Redshift
Ability to drive the deployment of the customers workloads into AWS and provide guidance, cloud adoption model, service integrations, appropriate recommendations to overcome blockers and technical roadmaps for AWS cloud implementations.
Extensive, realworld experience designing technology components for enterprise solutions and defining solution architectures and reference architectures with a focus on cloud technologies.
Coach and mentor engineers to raise the technical ability of the rest of the team, and/or to become certified in required AWS technical certifications

What you will get: