big data engineer

Throtle

<div><b>Benefits:</b><br>
<ul><li>401(k)</li>
<li>401(k) matching</li>
<li>Company parties</li>
<li>Competitive salary</li>
<li>Dental insurance</li>
<li>Flexible schedule</li>
<li>Free food &amp; snacks</li>
<li>Health insurance</li>
<li>Paid time off</li>
<li>Parental leave</li>
<li>Training &amp; development</li>
<li>Vision insurance</li>
</ul><br>
<b><i>Job Summary</i></b><br>
<br>
Please consider joining our technology team at Throtle as a Big Data Developer. In this role, you will be part of the team that is responsible for transforming and maintaining several billion records that make Throtle&rsquo;s data onboarding solution work. You&rsquo;ll need to be able to evaluate incoming data, perform specialized hygiene, and standardize it for consumption by multiple processes. You&rsquo;ll be working in a fast-paced, high volume processing environment where quality and attention to the details are paramount.<br>
<br>
<b><i>Duties/Responsibilities</i></b><br>
<ul>
<li>Design and implement data pipelines and transformations using big data technologies such as Spark, Hadoop, and related ecosystems</li>
<li>Develop and maintain complex SQL queries for data extraction and reporting, and optimize query performance and scalability</li>
<li>Design and develop software components that integrate with our identity graphs, client data, and keying processes</li>
<li>Participate in capacity monitoring and planning</li>
<li>Develop and maintain technical documentation</li>
<li>Ensure data integrity and quality in development process, including conducting data research and analysis to identify trends and patterns</li>
<li>Work with cross-functional teams to ensure software systems meet business requirements and are scalable for future growth, including developing predictive models and enhancing data quality</li>
<li>Position will require that the individual understands all regulations and laws applicable to their assigned roles and responsibilities. Additionally, the individual will be responsible for the development, implementation, and regular maintenance of policies and procedures that govern the work of assigned roles and responsibilities, including compliance with the security requirements of ePHI.</li>
</ul><br>
<b><i>Required Skill and Abilities</i></b><br>
<ul>
<li>Experience with large-scale data processing and analytics platforms, including Hadoop, Spark,or related ecosystems</li>
<li>Knowledge of distributed computing concepts and experience with cloud-based infrastructure</li>
<li>Experience with fuzzy logic matching and tools</li>
<li>Experience with AWS infrastructure</li>
</ul><br>
<b><i>Education and Experience</i></b><br>
<ul><li>
</li>
<li>4+ years of experience working with Big Data technologies, including, Spark, and SQL databases</li>
<li>Proficiency in programming languages such as Scala, Java, Python, Shell or a combination thereof</li>
<li>Expertise in data modeling, database design, and development</li>
<li>Experience in building and maintaining data transformations (ETL) using SQL, Python, Scala, or Java</li>
<li>Ability to analyze, troubleshoot and performance tune queries</li>
<li>Ability to identify problems, and effectively communicate solutions to peers and management</li>
<li>Strong analytical and problem-solving skills to address complex software and data challenges</li>
<li>Ability to work effectively with cross-functional teams and communicate technical designs and solutions to non-technical stakeholders</li>
</ul><br>
<b>About Throtle:</b><br>
Throtle is a leading identity company trusted by the world&rsquo;s top brands and agencies located in Red Bank, NJ. At Throtle, we empower brands at scale with true individual-based marketing using a data-centric identity and onboarding approach.<br>
<br>
Throtle is a company that truly values its employees and their work-life balance. We offer a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being:<br>
<ul>
<li>Competitive compensation.</li>
<li>Comprehensive benefits include Medical, Dental, and Vision.</li>
<li>Life insurance.</li>
<li>Long-Term Disability</li>
<li>A generous PTO program.</li>
<li>A 401k plan supported by a company match.</li>
<li>Half Day Summer Fridays (close at 1 p.m. Memorial Day to Labor Day).</li>
<li>Early Fridays (office closes at 3 p.m.).</li>
<li>Hybrid Schedule (Mondays and Fridays WFH)</li>
<li>The office is closed between Christmas and New Year.</li>
<li>Company-sponsored lunch at least 1x a month.</li>
<li>Professional Development Policy!</li>
</ul><br>
<b>And much MORE!</b><br>
<br>
<i>Throtle is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.</i><br>
<p>Flexible work from home options available.</p></div>

Big Data Engineer

Standard Chartered Bank

<div><div><div><div><div><div><div><div><p>Job ID: 34990
 </p><p>Location: Chennai, IN
 </p><p>Area of interest: Technology
 </p><p>Job type: Regular Employee
 </p><p>Work style: Office Working
 </p><p>Opening date: 19 Aug 2025
</p></div>
</div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><div><b>Job Summary</b></div>
</div><div><div><b>
Regulatory &amp; Business Conduct</b></div>
<ul><li>Display exemplary conduct and live by the Group&rsquo;s Values and Code of Conduct.</li><li>Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.</li><li>Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.</li><li>Lead to achieve the outcomes set out in the Bank&rsquo;s Conduct Principle</li></ul><div><b><br>
Key stakeholders</b></div>
<ul><li>Trade AML &amp; POC Business</li><li>Trade Technology &amp; Other TTO stakeholders</li></ul></div></div><div><div><div><b>
Key Responsibilities</b></div>
</div><div><ul><li>Adherence to Risk &amp; Data Quality Management Requirements</li><li>Risk and Audit Continuous management of the Trade Application System risk</li><li>Proactively identify issues and actions</li><li>Monitor and remediate issues and actions from audits</li><li>Awareness of the regulatory requirements and ensuring these are catered for in the platform design</li><li>As Part Of Build &amp; Maintenance Model, will have to Support Production As and when required</li></ul></div></div><div><div><div><b>
Qualifications</b></div>
</div><div><ul><li>TRAINING : Machine Learning/AI experience- Optional</li><li>CERTIFICATIONS: QUANTEXA</li><li>LANGUAGES : AWS EKS, Azure AKS</li><li>Angular,</li><li>Microservices (OCP, Kubernetes)</li><li>Hadoop</li><li>SPARK</li><li>SCALA</li><li>Elastic</li></ul></div></div><div><div><div><b>
Skills and Experience</b></div>
</div><div><ul><li>Microservices (OCP, Kubernetes)</li><li>Hadoop</li><li>SPARK</li><li>SCALA</li><li>Elastic</li><li>Trade Risk &amp; AML</li><li>Azure DevOps</li><li>traditional ETL pipelines and/or analytics pipelines</li></ul></div></div><div><div><div><b>
About Standard Chartered</b></div>
</div><div><div>
We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.</div>
<div>Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.</div>
<div>Together we:</div>
<ul><li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li>
<li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li>
<li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li>
</ul></div></div><div><div><div><b>What we offer</b></div>
</div><div><div><b>
In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</div>
<ul><li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li>
<li><b>Time-off</b> including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.</li>
<li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li>
<li><b>Proactive wellbeing support</b> through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits</li>
<li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li>
<li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li>
</ul></div></div></div>
</div></div></div></div><div><div><p>www.sc.com/careers</p></div></div></div><div></div>

BrightEdge

<div><div><div><b>About Us</b></div><div>
BrightEdge is a leading SEO and content performance marketing platform that transforms online content into tangible business results. Our platform processes massive amounts of data to provide actionable insights to our clients. We're looking for a talented Big Data Engineer to join our Professional Services to help us scale and optimize our data processing capabilities.
</div><div><b>Role Overview
</b></div><div>As a Big Data Engineer at BrightEdge, you will design, build, and maintain high-performance data pipelines that process terabytes of data. You'll work on optimizing our existing systems, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform. This role is critical in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards.</div></div><div><div><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><ul><li>
Design and implement scalable batch processing systems using Python and big data technologies</li><li>
Optimize database performance, focusing on slow-running queries and latency improvements
</li><li>Use Python profilers and performance monitoring tools to identify bottlenecks
</li><li>Reduce P95 and P99 latency metrics across our data platform
</li><li>Build efficient ETL pipelines that can handle large-scale data processing
</li><li>Collaborate with data scientists and product teams to understand data requirements
</li><li>Monitor and troubleshoot data pipeline issues in production
</li><li>Implement data quality checks and validation mechanisms</li><li>
Document data architecture and engineering processes
</li><li>Stay current with emerging big data technologies and best practices</li></ul></li></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li><ul><li><b>
Required</b></li><li>
Bachelor's degree in Computer Science, Engineering, or related technical field
</li><li>4+ years of experience in data engineering roles</li><li>
Strong Python programming skills with focus on data processing libraries
</li><li>Experience with big data technologies (Spark, Hadoop, etc.)
</li><li>Proven experience optimizing database performance (SQL or NoSQL)
</li><li>Knowledge of data pipeline orchestration tools (Airflow, Luigi, etc.)
</li><li>Understanding of performance optimization techniques and profiling tool</li></ul></li></ul></div></div><div><div><h3 class="jobSectionHeader"><b>
Preferred</b></h3><ul><li><ul><li>
Master's degree in Computer Science or related field
</li><li>Experience with SEO data or web crawling systems</li><li>
Experience with Clickhouse Database
</li><li>Knowledge of distributed systems and microservices architecture
</li><li>Familiarity with container orchestration (Kubernetes, Docker)
</li><li>Experience with real-time data processing
</li><li>Contributions to open-source projects
</li><li>Experience with machine learning operations</li></ul></li></ul></div></div></div><div></div>

Big Data Engineer- Professional Services

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We've been engaged by an Investment Banking client in the Corporate, Commercial and Institutional Banking (CCIB) potfolio to work on the projects for managing analytics support for all the key initiatives of all segments/products .
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Choosing the right technologies for our use cases, deploy and operate.
</p></div><div><p>Setting up Data stores structured, semi structured and non-structured.
</p></div><div><p>Secure data at rest via encryption
</p></div><div><p>Implement tool to access securely multiple data sources
</p></div><div><p>Implement solutions to run real-time analytics
</p></div><div><p>Use container technologies
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>6+ years of relevant technology experience
</p></div><div><p>Experience in one of the following: Elastic Search, Cassandra, Hadoop, Mongo DB
</p></div><div><p>Experience in Spark and Presto/Trino
</p></div><div><p>Experience with microservice based architectures
</p></div><div><p>Experience on Kubernetes
</p></div></div><p>Nice to have
</p><div><div><p>Experience of Unix/Linux environments is plus
</p></div><div><p>Experience of Agile/Scrum development methodologies is a plus
</p></div><div><p>Cloud knowledge a big plus (AWS/GCP) &ndash; (Kubernetes/Docker)
</p></div><div><p>Be nice, respectful, able to work in a team
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Bengaluru, India
</p></div><p>Req. VR-117033
</p></div><div></div><div><div><p>BigData Development
</p></div><div><p>BCM Industry</p>
</div><div><p>26/08/2025
</p></div><div><p>Req. VR-117033</p></div></div></div><p></p>

Senior Big Data Engineer

Citi

<p></p><div><p>The Data Engineer is accountable for developing high quality data products to support the</p><p>
Bank&rsquo;s regulatory requirements and data driven decision making. A Data Engineer will serve</p><p>
as an example to other team members, work closely with customers, and remove or</p><p>
escalate roadblocks. By applying their knowledge of data architecture standards, data</p><p>
warehousing, data structures, and business intelligence they will contribute to business</p><p>
outcomes on an agile team.</p><p></p><p>
Responsibilities</p><p>
Big Data Engineer - Scala, - Py spark, -Spark</p><p>
Developing and supporting scalable, extensible, and highly available data solutions</p><p>
Deliver on critical business priorities while ensuring alignment with the wider</p><p>
architectural vision</p><p>
Identify and help address potential risks in the data supply chain</p><p>
Follow and contribute to technical standards</p><p>
Design and develop analytical data models</p><p>
Required Qualifications &amp; Work Experience</p><p>
First Class Degree in Engineering/Technology (4-year graduate course)</p><p></p><p>
5 to 8 years&rsquo; experience implementing data-intensive solutions using agile</p><p>
methodologies</p><p>
Experience of relational databases and using SQL for data querying, transformation</p><p>
and manipulation</p><p>
Experience of modelling data for analytical consumers</p><p>
Ability to automate and streamline the build, test and deployment of data pipelines</p><p>
Experience in cloud native technologies and patterns</p><p>
A passion for learning new technologies, and a desire for personal growth, through</p><p>
self-study, formal classes, or on-the-job training</p><p>
Excellent communication and problem-solving skills</p><p>
Technical Skills (Must Have)</p><p>
ETL</p><p>
Hands on experience of building data pipelines. Proficiency in at least one of the</p><p>
data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica</p><p>
Big Data</p><p>
Exposure to &lsquo;big data&rsquo; platforms such as Hadoop, Hive or Snowflake for</p><p>
data storage and processing</p><p>
Data Warehousing &amp; Database Management</p><p>
Understanding of Data</p><p>
Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB,</p><p>
DynamoDB) database design</p><p>
Data Modeling &amp; Design</p><p>
Good exposure to data modeling techniques; design,</p><p>
optimization and maintenance of data models and data structures</p><p>
Languages</p><p>
Proficient in one or more programming languages commonly used in</p><p>
data engineering such as Python, Java or Scala</p><p>
DevOps</p><p>
Exposure to concepts and enablers - CI/CD platforms, version control,</p><p>
automated quality control management</p><p>
Technical Skills (Valuable)</p><p>
Cloud</p><p>
Good exposure to public cloud data platforms such as S3, Snowflake,</p><p>
Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying</p><p>
architectures and trade-offs</p><p>
Data Quality &amp; Controls</p><p>
Exposure to data validation, cleansing, enrichment and</p><p>
data controls</p><p>
File Formats</p><p>
Exposure in working on Event/File/Table Formats such as Avro,</p><p>
Parquet, Protobuf, Iceberg, Delta</p><p>
Others</p><p>
Basics of Job scheduler like Autosys. Basics of Entitlement management</p><p>
Certification on any of the above topics would be an advantage.</p><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Digital Software Engineering<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
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.</i></p><p></p><p><i><br>
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 </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Big Data Engineer - Scala, - Py spark, -Spark

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We've been engaged by an Investment Banking client in the Corporate, Commercial and Institutional Banking (CCIB) potfolio to work on the projects for managing analytics support for all the key initiatives of all segments/products .
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Choosing the right technologies for our use cases, deploy and operate.
</p></div><div><p>Setting up Data stores structured, semi structured and non-structured.
</p></div><div><p>Secure data at rest via encryption
</p></div><div><p>Implement tool to access securely multiple data sources
</p></div><div><p>Implement solutions to run real-time analytics
</p></div><div><p>Use container technologies
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>6+ years of relevant technology experience
</p></div><div><p>Experience in one of the following: Elastic Search, Cassandra, Hadoop, Mongo DB
</p></div><div><p>Experience in Spark and Presto/Trino
</p></div><div><p>Experience with microservice based architectures
</p></div><div><p>Experience on Kubernetes
</p></div></div><p>Nice to have
</p><div><div><p>Experience of Unix/Linux environments is plus
</p></div><div><p>Experience of Agile/Scrum development methodologies is a plus
</p></div><div><p>Cloud knowledge a big plus (AWS/GCP) &ndash; (Kubernetes/Docker)
</p></div><div><p>Be nice, respectful, able to work in a team
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Senior</p></div></div></div></div></div>
<br><div><div><div><p>Chennai, India
</p></div><p>Req. VR-117033
</p></div><div></div><div><div><p>BigData Development
</p></div><div><p>BCM Industry</p>
</div><div><p>26/08/2025
</p></div><div><p>Req. VR-117033</p></div></div></div><p></p>

<div><p><b>Big Data Engineer (PySpark &amp; Apache Airflow)</b></p><p></p><p><b>
Role Overview:</b></p><p>
We are actively seeking a highly skilled and dedicated Big Data Engineer specializing in PySpark and Apache Airflow to enhance our data platform capabilities. This critical role involves designing, developing, and orchestrating complex data pipelines that underpin our advanced analytics and machine learning initiatives. You will be responsible for leveraging PySpark for efficient data processing and utilizing Apache Airflow for robust workflow management, ensuring data quality, reliability, and scalability across our large-scale datasets.</p><p></p><p><b>
Key Responsibilities:</b></p><ul><li><b>
Design, develop, and maintain robust, scalable, and efficient big data pipelines primarily using PySpark</b> for data ingestion, transformation, and processing.</li><li><b>
Implement and manage data workflows using Apache Airflow</b>, including designing DAGs (Directed Acyclic Graphs), configuring operators, and optimizing task dependencies for reliable and scheduled data pipeline execution.</li><li>
Optimize PySpark jobs and data workflows for performance, cost-efficiency, and resource utilization across distributed computing environments.</li><li>
Collaborate closely with data scientists, AI/ML engineers, and other stakeholders to translate analytical and machine learning requirements into highly performant and automated data solutions.</li><li>
Develop and implement data quality checks, validation rules, and monitoring mechanisms within PySpark jobs and Airflow DAGs to ensure data integrity and consistency.</li><li>
Troubleshoot, debug, and resolve issues in PySpark code and Airflow pipeline failures, ensuring high availability and reliability of data assets.</li><li>
Contribute to the architecture and evolution of our data platform, advocating for best practices in data engineering, automation, and operational excellence.</li><li>
Ensure data security, privacy, and compliance throughout the data lifecycle within the pipelines.</li></ul><p></p><p><b>
Required Skills and Qualifications:</b></p><ul><li><b>
7+ Years of Expert-level proficiency in PySpark</b> for building and optimizing large-scale data processing applications.</li><li><b>
Strong hands-on experience with Apache Airflow</b>, including DAG development, custom operators/sensors, connections, and deployment strategies.</li><li>
Proven experience in designing, building, and operating production-grade distributed data pipelines.</li><li>
Solid understanding of big data architectures, distributed computing principles, and data warehousing concepts.</li><li>
Proficiency in data modeling, schema design, and various data storage formats (e.g., Parquet, ORC, Delta Lake).</li><li>
Experience with cloud platforms such as <b>AWS, Azure, or Google Cloud Platform (GCP)</b>, specifically their big data services (e.g., EMR, Databricks, HDInsight, Dataflow) and object storage (S3, ADLS, GCS).</li><li>
Demonstrated experience with version control systems, particularly <b>Git</b>.</li><li>
Excellent problem-solving, analytical, and debugging skills.</li><li>
Ability to work effectively both independently and as part of a collaborative, agile team.</li></ul><p></p><p><b>
Desired (Plus) Skills:</b></p><ul><li>
Experience with containerization technologies (e.g., Docker, Kubernetes) for deploying PySpark applications or Airflow.</li><li>
Familiarity with CI/CD practices for data pipelines.</li><li>
Understanding of machine learning concepts and experience with data preparation for AI/ML models.</li><li>
Knowledge of other orchestration tools or workflow managers.</li></ul><p><b><br>
Education:</b></p><ul><li>
Bachelor&rsquo;s degree/University degree or equivalent experience</li></ul><p></p><p><br>
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.</p><p></p><p>
-</p><p><b>
Job Family Group:
</b></p>Technology<p>
-</p><p><b>
Job Family:</b></p>
Applications Development<p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><i>
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.</i></p><p></p><p><i><br>
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 </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Senior Big Data Engineer - Assistant Vice President

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