Senior Data Engineer (Andhra Pradesh)

Senior Data Engineer (Andhra Pradesh)

13 Aug
|
Virtusa
|
Andhra Pradesh

13 Aug

Virtusa

Andhra Pradesh

Key Responsibilities

Pipeline & Architecture: Design, build, and maintain scalable, real-time, and batch data pipelines.

Data Strategy: Help execute data strategy, architecture, and best practices across the organization.

Platform Management: Develop recent requirements across multiple platforms, including Enterprise Data Lakes (on-premises), Azure Data Lake, Business Intelligence, Advanced Analytics, and Real-time Streaming platforms.

End-to-End Delivery: Estimate project efforts, design effective solutions, and handle change release and resource management.

Domain Integration: Work closely with data-intensive systems across banking lines of business, digital journeys, marketing, risk, and compliance across operating regions (UAE, Egypt, Pakistan, etc.).

Critical Reporting: Handle critical applications that influence the bank’s management decision-making processes, operational reporting, and regulatory reporting (which impacts financial/non-financial compliance).

Mentorship & Leadership:



Lead team deliverables across business groups and drive the organization toward making strategic improvements in data engineering.

Requirements & Qualifications
Experience: 8 to 12 years of experience in Data Engineering, Big Data, or DWH/ETL roles (years of experience vary slightly depending on the specific internal band, such as AVP vs. Lead).

Banking Knowledge: Strong functional knowledge of financial services, core banking systems, retail / corporate banking, risk, and compliance.

Data Modeling: Experience in designing and building dimensional data models to improve the accessibility, efficiency, and quality of data.

Software Lifecycle: Strong understanding of Agile methodologies, CI/CD processes, and managing production go-live engagements.

Technical Skills & Tech Stack

Programming Languages: Python, Scala, Advanced SQL/PL-SQL (Expertise in performance tuning SQLs).

Big Data Ecosystem: Hadoop, Apache Spark, PySpark, Hive, Hue, Sqoop, MapReduce.

Cloud Infrastructure

📌 Senior Data Engineer (Andhra Pradesh)
🏢 Virtusa
📍 Andhra Pradesh

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