Citi Group Big Data Developer 

India, Maharashtra, Pune 

931952627

Responsibilities

• · Code contributing member of multiple Agile teams, working to deliver sprint goals.
• · Demonstrating deep technical knowledge and expertise in software development, including programming languages, frameworks, and best practices. Providing guidance and mentorship to junior team members.
• · Actively contributes to the implementation of critical features and complex technical solutions. Write clean, efficient, and maintainable code that meets the highest standards of quality.
• · Collaborate with other Engineers to define and evolve the overall system architecture and design.
• · Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices.
• · Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions. Foster a culture of technical excellence and continuous improvement.
• · Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation.

Required Qualifications

• · 4+ years’ experience of implementing data-intensive solutions using agile methodologies.
• · Proficient in one or more programming languages commonly used in data engineering such as Python, Java, or Scala.
• · Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)
• · Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation.
• · Clear understanding of Data Structures and Object Oriented Principles.
• · Experience of modelling data for analytical consumers
• · Ability to automate and streamline the build, test and deployment of data pipelines.
• · Experience with Hadoop for data storage and processing is valuable, as is exposure to modern data platforms such as Snowflake and Databricks.
• · Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications
• · Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
• · Proven experience of providing technical vision and guidance to a data team.
• · Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work.
• · BA/BS degree or equivalent work experience.

Preferred Qualifications

· Familiarity with open-source data engineering tools and frameworks (e.g. Spark, Kafka, Beam, Flink, Trino, Airflow, DBT) is a valuable asset

· Exposure to a range of table and file formats including Iceberg, Hive, Avro, Parquet and JSON

· Experience in cloud native technologies and patterns (AWS, Google Cloud)

· Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.)

· Experience of driving and/or influencing the data strategy of your team or organization

Time Type:

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