Data Engineer Intm Analyst
Citi
Software Engineering, Data Science, IT
Pune, Maharashtra, India
Posted on Aug 27, 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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