Data Engineer, Citi

Data Engineer

Citi

Location:
India, Pune

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Not provided

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Job Description:

Join Citi's cutting-edge technology team as a Data Engineer specializing in AWS cloud, Snowflake, Spark, and Databricks. Collaborate in an agile environment to build and maintain robust data pipelines on AWS. Design, develop, and optimize data solutions using Snowflake, Python, Spark, and Databricks. Implement ETL/ELT processes using AWS Glue, Airflow, Spark, and Databricks, ensuring data quality and security.

Job Responsibility:

design, develop, and optimize data solutions using Snowflake, Python, Spark, and Databricks on AWS
implement ETL/ELT processes using AWS Glue, Airflow, Spark, and Databricks, ensuring data quality and security
work with AWS data services like S3, RDS, Redshift, EMR, and EKS
integrate Snowflake with AWS services and Databricks for data warehousing and analytics
collaborate with data scientists and analysts to provide clean, reliable, and well-structured datasets for analysis
automate data workflows and monitoring processes to ensure high availability and reliability

Requirements:

8+ years of experience
proficiency in Java, Snowflake, Python
expertise with cloud databases like Amazon RDS, Google BigQuery, Azure SQL Database, and Snowflake
strong skills in Python and SQL
strong knowledge of data modeling, schema design, and query optimization
experience with ETL/ELT tools like Apache Airflow, Apache Spark, and cloud-native services
hands-on experience with distributed data processing frameworks (e.g., Hadoop, Spark)
experience with data warehousing and analytics platforms
familiarity with CI/CD pipelines and version control systems like Git
strong understanding of data security, compliance, and governance in cloud environments

Nice to have:

certifications such as AWS Certified Data Analytics – Specialty
Google Professional Data Engineer
Microsoft Certified: Azure Data Engineer Associate
experience with AWS Glue, Redshift, RDS, and Databricks

What we offer:

equal opportunity employment
accessible workplace accommodations

Additional Information:

Job Posted:
August 12, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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