Citi

Digital S/W Eng Lead Analyst - C13 - PUNE

Reposted 9 Days Ago

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Pune, Mahārāshtra, IND

In-Office

Senior level

Fintech • Financial Services

The Role

Seeking a hands-on Data Engineer to solve business problems through software engineering, contribute to Agile team goals, and promote technical excellence.

Summary Generated by Built In

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.

Top Skills

Airflow

Avro

AWS

Beam

CloudFormation

Databricks

Dbt

Docker

Flink

GCP

Hadoop

Hive

Iceberg

Java

JSON

Kafka

Kubernetes

Openshift

Parquet

Python

Scala

Snowflake

Spark

SQL

Terraform

Trino

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What We Do

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients. We have 200 years of experience helping our clients meet the world's toughest challenges and embrace its greatest opportunities. We are Citi, the global bank – an institution connecting millions of people across hundreds of countries and cities.