Engineer II, Database (SQL/ Python)

FIS

Gurugram District

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and benefits package
Career development tools and opportunities
Modern international work environment

Job summary

A global financial services company is seeking a Data Engineer to support and enhance its data infrastructure. The role involves developing data pipelines, supporting data workflows, and collaborating with teams to meet data requirements. Key qualifications include proficiency in SQL, hands-on experience with Python or PySpark, and knowledge of data modeling concepts. The position offers a competitive salary and a modern work environment with numerous opportunities for career development.

Qualifications

  • Proficiency in SQL (Microsoft, Oracle, or similar).
  • Hands-on experience with Python or PySpark.
  • Experience with Spark and ADF.

Responsibilities

  • Develop and maintain data pipelines using ADF, Spark, and SQL.
  • Collaborate with cross-functional teams to deliver solutions.
  • Ensure governance and security best practices are followed.

Skills

SQL
Python
Spark
Data modeling
CI/CD processes
APIs
Big Data lifecycle

Education

Bachelor of Computer Science

Tools

Azure
Git
Power BI

Job description

Type Of Hire

Experienced (relevant combo of work and education)

Education Desired

Bachelor of Computer Science

Position Type

Full time

About The Role

As a Data Engineer, you will play a critical role in supporting and enhancing our data infrastructure. You’ll work with a variety of modern data technologies to build scalable solutions that drive business insights and operational efficiency.

What You Will Be Doing
  • Develop and maintain data pipelines using tools such as ADF, Spark, and SQL
  • Support and enhance existing data workflows and infrastructure
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions
  • Implement data modeling strategies for warehousing and lakehouse environments
  • Perform data transformations using Python/PySpark and SQL
  • Integrate data from various sources including APIs and RESTful services
  • Contribute to CI/CD processes using Git and related tools
  • Ensure data quality, governance, and security best practices are followed
What You Bring
  • Proficiency in SQL (Microsoft, Oracle, or similar)
  • Shift time - 2 PM to 12 AM IST
  • Experience with Spark and ADF
  • Familiarity with data formats such as JSON and CSV
  • Strong understanding of the Big Data lifecycle
  • Hands‑on experience with Python or PySpark
  • Knowledge of data modeling and warehousing concepts
  • Experience with Git and CI/CD pipelines
  • Familiarity with storage solutions like Azure Storage Accounts or S3 buckets
  • Understanding of database administration principles
Nice to Have
  • Experience with Microsoft Fabric, Databricks, or Redshift
  • Knowledge of KQL, DAX
  • Exposure to Power BI for data visualization
  • Familiarity with Azure DevOps, PowerShell, Azure Monitor, and Log Analytics
What We Offer You
  • A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
  • A modern, international work environment and a dedicated and motivated team
  • A competitive salary and benefits package
  • Career development tools, resources, and opportunities
Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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