Cloud Data Engineer
Citi
Data Science
Pune, Maharashtra, India
Posted on Sep 3, 2025
The Role
We are looking for a hands-on Data Engineer who is passionate about solving
business problems through innovation and engineering practices.
As a Data
Engineer, you will leverage your deep technical knowledge to drive the creation of
high-quality software products. You will also be expected to share your technical
expertise and promote a culture of technical excellence within the team. The Data
Engineer will work with a Team Lead and will be a code-contributing member of the
team that will deliver solutions against the sprint-level commitments
Responsibilities
Code contributing member of an Agile team, working to deliver sprint goals.
Demonstrating technical knowledge and expertise in software development,
including programming languages, frameworks, and best practices.
Actively contributes to the implementation of features and 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
4-6 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.
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
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.).
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
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Digital Software Engineering------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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