Data Analyst

VirtusaPolaris - Virtusa Corporation; Dubai; On-site; AED 120,000 - 160,000; Full time

Job summary

A technology consulting firm based in Dubai is looking for a skilled Data Engineer with strong analytical and problem-solving skills. The role requires expertise in SQL and data querying, along with experience in Apache Spark and cloud platforms like Azure and AWS. The ideal candidate should have a commitment to delivering high-quality work and can effectively collaborate with cross-functional teams. This position offers a chance to work in a dynamic environment focusing on innovative data solutions.

Qualifications

• A commitment to delivering high-quality work.
• Ability to prioritize tasks effectively in a dynamic environment.
• Expert-level proficiency in SQL and Python, knowledge of SAS/R/Spark is a plus.

Responsibilities

• Design robust data solutions using strong analytical skills.
• Work collaboratively with cross-functional teams to deliver quality results.
• Manage time effectively to meet project deadlines.

Skills

Strong analytical and problem-solving skills

Excellent communication skills

Attention to detail

Collaboration skills

Tools

SQL

Oracle

Apache Spark

Power BI

Business Objects

Crystal

Job description

Overview

Job Description : Strong analytical and problem-solving skills to effectively design data solutions. Banking Retail, Business & Wholesale Product Knowledge and understanding. Attention to detail and a commitment to delivering high-quality work. Excellent communication and teamwork skills to collaborate with cross-functional teams. Ability to manage time effectively and prioritize tasks in a dynamic work environment.

Technical Skills

• Strong data querying and processing skills using SQL, Oracle, Apache Spark or similar language
• Data Visualization tools – Power BI, Business Objects, Crystal or similar tool
• Data Warehousing and ETL concepts

Competencies

• Expert-level proficiency in SQL, Python with SAS/R/Spark as plus
• Deep understanding of distributed data processing frameworks, particularly Apache Spark.
• Experience with cloud platforms (Azure, AWS) — including Object storage, compute, networking, and data integration services.
• Familiarity with data modeling techniques, including schema design, partitioning, and performance tuning.
• Experience working with structured and semi-structured data formats (e.g., JSON, Parquet, Avro, XML).
• Knowledge of data governance, quality assurance, and compliance best practices.
• Solid grasp of core computer science fundamentals (e.g., data structures, search algorithms, queues) relevant to performance-critical data engineering