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Citi

Digital S/W Eng Lead Analyst - C13 - PUNE

Pune · Senior

Older listing - lower visibility likelyVerified listingPosted 438d ago

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64Skills
97Experience

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Skills required

19 listed
Unit TestingPeer ReviewSource DataRelational DatabasesData StructuresAb Initio (Software)Google CloudPython (Programming Language)+11 more
Unit TestingPeer ReviewSource DataRelational DatabasesData Structures

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Job description

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

------------------------------------------------------

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.

------------------------------------------------------

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.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Free · no signup

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Why people use ASAI

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  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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