Data Engineer - AVP

Posted 8 Days Ago
Be an Early Applicant
India
7+ Years Experience
Fintech
The Role
Responsible for designing and developing big data solutions, moving legacy workloads to cloud platform, building data pipelines, ensuring automation through CI/CD, and optimizing performance of big data applications. Also involved in evaluating IT developments and recommending system enhancements.
Summary Generated by Built In

The Data Engineer is responsible for building Data Engineering Solutions using next generation data techniques. The individual will be working directly with product owners, customers and technologists to deliver data products/solutions in a collaborative and agile environment.

Responsibilities:

  • Responsible for design and development of big data solutions. Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop
  • Responsible for moving all legacy workloads to cloud platform
  • Work with data scientist to build Client pipelines using heterogeneous sources and provide engineering services for data science applications
  • Ensure automation through CI/CD across platforms both in cloud and on-premises
  • Define needs around maintainability, testability, performance, security, quality and usability for data platform
  • Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes
  • Convert SAS based pipelines into languages like PySpark, Scala to execute on Hadoop and non-Hadoop ecosystems
  • Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance
  • Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards.
  • Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinates and contributes to the objectives of the entire function.
  • Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/taken.
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

  • 8+ years of total IT experience
  • 5+ years of experience with Hadoop (Cloudera)/big data technologies
  • Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) 
  • Experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Java or Scala or Python.
  • Experience with Spark programming (pyspark or scala or java)
  • Expert level building pipelines using Apache Spark Familiarity with core provider services from AWS, Azure or GCP, preferably having supported deployments on one or more of these platforms 
  • Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required;
  • Exposure to containerization and related technologies (e.g. Docker, Kubernetes)
  • Exposure to aspects of DevOps (source control, continuous integration, deployments, etc.)
  • Proficient in programming in Java or Python with prior Apache Beam/Spark experience a plus. 
  • System level understanding - Data structures, algorithms, distributed storage & compute
  • Can-do attitude on solving complex business problems, good interpersonal and teamwork skills
  • Possess team management experience and have led a team of data engineers and analysts. 
  • Experience in Snowflake is a plus.

Education:

  • Bachelor’s degree/University degree or equivalent experience

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. 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 the "EEO is the Law" poster. View the EEO is the Law Supplement.

View the EEO Policy Statement.

View the Pay Transparency Posting

Top Skills

Java
Python
Scala
The Company
Mumbai, Maharashtra
223,850 Employees
Hybrid Workplace

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.

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