Digital S/W Eng Lead Analyst - C13 - PUNE

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Pune, Mahārāshtra, IND
In-Office
Fintech • Financial Services
The Role
Job Title:
Data Engineer – C13/VP
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
• 5+ 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.)
• Multiple years of 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 with Cloud-native development and Container
Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
• Multiple years of experience with open-source data engineering tools and
frameworks (e.g.
Spark
, Kafka, Beam, Flink, Trino, Airflow, DBT)
• Exposure to a range of table and file formats including
Iceberg
,
Hive
, Avro,
Parquet
and JSON
• Multiple years of experience architecting and building horizontally scalable,
highly available, highly resilient, and low latency applications
• 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 Data Transformation tools like Ab Initio a plus. Appreciation
of data parallelism, associated partitioning strategies and an understanding
of key components in the GDE is particularly relevant.
• 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

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Job Family:

Digital Software Engineering

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Time Type:

Full time

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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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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.

Citi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.

  • Healthcare Strength Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
  • Retirement Support Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
  • Wellbeing & Lifestyle Benefits Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.

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