Roles and Responsibility

Design, develop, and maintain data architecture solutions.

Organize, transform, and load data from various sourcesinto our data warehouse

Develop and maintain automated data pipelines and ETLprocesses

Manage historical data stored in flat files and integrateit with our data warehouse

Collaborate with cross-functional teams to ensure dataaccuracy and quality

Implement best process for data security, privacy, andcompliance

Optimize data storage and retrieval processes forperformance and scalability

Develop and maintain documentation on for dataarchitecture, data flows, and data models

Qualification:

Bachelor's or Master's degree in Computer Science,Engineering, or related field

4+ years of experience in data engineering, databaseadministration, or related field

Must have - Strong experience with Python, SQL and ETLtools

Good to have Knowledge of global equity market,historical stock data

Strong understanding of data modeling, data warehousing,and data management

Good to have - Experience with big data technologies suchas Hadoop, Spark, or Hive

Good to have - Familiarity with cloud platforms such asAWS, Azure, or GCP

Ability to work independently as well as collaborativelyin a team environment.

Strong problem-solving skills and attention to detail

Excellent communication on and interpersonal skills

Senior Data Engineer