Description

You will design, develop, and optimize large-scale data applications, automated processing pipelines, and big data architectures.

This role is on-site.

Responsibilities

• Design and implement big data architectures, including data lakes and data warehouses.
• Develop software following SDLC methodologies such as DevOps, Agile, Lean, or Waterfall.
• Optimize automated ETL and ELT processes for large structured and unstructured datasets in the TB+ range.
• Build and configure data systems using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
• Develop applications utilizing hybrid data environments across cloud and on-premises systems.

Required Skills

• 10+ years of experience with object-oriented programming in C#, Java, Python, Scala, .NET, Spark, Spring, or Hibernate.
• 10+ years of experience with relational databases such as Microsoft SQL Server or Oracle.
• 10+ years of experience with NoSQL databases including MongoDB, CouchDB, HBase, Cosmos DB, Oracle NoSQL, or Cassandra DB.
• 7+ years of software development experience within formal SDLC frameworks.
• Expertise in ETL/ELT tools such as Informatica PowerCenter, Apache NiFi, Data Oracle Integrator, SSIS, IBM Infosphere, or SAP BusinessObjects.
• Proficiency in scripting languages including JavaScript, Node.js, or Shell script.
• Experience with cloud-based data systems such as Amazon Aurora, Snowflake, Databricks, or Amazon Redshift.
• Hands-on experience with Infrastructure as Code (IaC) like Terraform or AWS CloudFormation.

Preferred Skills

• AWS Developer - Associate certification.
• AWS Data Engineer - Associate certification.

Key Skills

Education

Any Gradute