Description

You will design and implement complex data architectures and large-scale data processing systems for high-performance environments.

Responsibilities

• Lead client engagements to define application development strategies and technology roadmaps.
• Translate end-user requirements into technical documentation and architecture designs.
• Identify performance bottlenecks and implement technical solutions for applications and databases.
• Mentor IT consultants and coordinate with developers, architects, and cross-functional stakeholders.
• Act as the primary interface between business leadership, technical teams, and delivery units.

Required Skills

• 16+ years of experience designing and implementing large-scale application and data processing systems.
• Hands-on expertise with Azure Data Factory, ADLS Gen2, Azure Databricks, and Azure Synapse.
• Proficiency in Java, Python, or .NET programming languages.
• Strong background in data modeling, database design, and data warehousing.
• Deep knowledge of relational databases including Oracle, SQL Server, and PostgreSQL.
• Experience with NoSQL databases such as Cassandra, MongoDB, and HBase.
• In-depth understanding of performance tuning for both applications and databases.
• Experience with Big Data analytics platforms and ETL tools.
• Proven ability to lead the full Software Development Life Cycle (SDLC) of Big Data solutions.

Preferred Skills

• Experience working within diverse practice areas and business units.

Key Skills

Education

Any Graduate