12 months ago
Pune, IndiaStaff+
Responsibilities
- Develop and support scalable, extensible, and highly available data solutions.
- Deliver critical business priorities while aligning with the wider architectural vision.
- Identify and help address potential risks in the data supply chain.
- Follow and contribute to technical standards.
- Design and develop analytical data models.
- Design, develop, and maintain scalable data-processing pipelines using Python and Spark.
- Mentor team members, collaborate with customers, and independently lead and deliver medium-sized components.
- Remove or escalate roadblocks and contribute to business outcomes on an agile team.
Requirements
- First Class Degree in Engineering or Technology from a four-year graduate course.
- 7 to 12 years of experience implementing data-intensive solutions using agile methodologies.
- Experience with relational databases, SQL querying and transformation, analytical data modeling, data warehousing, and data structures.
- Proficiency in Python and experience with Spark, Hadoop, and Hive.
- Ability to automate and streamline the build, test, and deployment of data pipelines.
- Experience with cloud-native technologies and patterns.
- Experience with Oracle, MSSQL, or MySQL, including SQL performance tuning.
- Exposure to CI/CD platforms, version control, automated quality control, data validation, cleansing, enrichment, and data controls.
- Valuable experience with AWS, Jenkins, GitHub, Docker, Kubernetes, Avro, Parquet, Protobuf, Iceberg, Delta, Autosys, Tableau, and Power BI.
- Strong communication and problem-solving skills, a passion for learning, and an inclination to mentor.
Tech Stack
Categories
Data Engineering
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.