Lead Technology Analyst - Big Data Job at Airbus (Bangalore)

Big Data Lead Developer

We are seeking a highly skilled and experienced Big Data Lead Developer to estab...

Location

Canada , Mississauga

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Big Data application development or systems analysis role
Experience in leading and mentoring big data engineering teams
Strong understanding of big data concepts, architectures, and technologies (e.g., Hadoop, PySpark, Hive, Kafka, NoSQL databases)
Proficiency in programming languages such as Java, Scala, or Python
Excellent problem-solving and analytical skills
Strong presentation, communication and interpersonal skills
Experience with data warehousing and business intelligence tools
Experience with data visualization and reporting
Knowledge of cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight, Google Cloud Dataproc)
Proficiency in Unix/Linux environments

Job Responsibility

Lead and mentor a team of big data engineers, fostering a collaborative and high-performing environment
Provide technical guidance, code reviews, and support for professional development
Design and implement scalable and robust big data architectures and pipelines to handle large volumes of data from various sources
Evaluate and select appropriate big data technologies and tools based on project requirements and industry best practices
Implement and integrate these technologies into our existing infrastructure
Develop and optimize data processing and analysis workflows using technologies such as Spark, Hadoop, Hive, and other relevant tools
Implement data quality checks and ensure adherence to data governance policies and procedures
Continuously monitor and optimize the performance of big data systems and pipelines to ensure efficient data processing and retrieval
Collaborate effectively with cross-functional teams, including data scientists, business analysts, and product managers, to understand their data needs and deliver impactful solutions
Stay up to date with the latest advancements in big data technologies and explore new tools and techniques to improve our data infrastructure

What we offer

Global benefits designed to support your well-being, growth, and work-life balance

Fulltime

Architecture Lead Analyst

The Architecture Lead Analyst (VP) role at Citi requires a seasoned professional...

Location

Ireland , Dublin

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Relevant experience in software development, architecture, and engineering roles
extensive hands-on experience in designing, developing, and deploying complex, large-scale software applications
proven experience in systems analysis, programming, and implementation of software applications across diverse technology stacks
deep expertise in at least one major programming language (e.g., Java, Python, C#, Go) and related frameworks
profound understanding of modern architectural patterns (e.g., microservices, event-driven architectures, cloud-native design)
strong knowledge of software development lifecycle (SDLC), including agile methodologies, DevOps practices, CI/CD pipelines, and automated testing strategies
familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
experience with real-time data processing tools (e.g., Kafka), certification in Snowflake, Oracle databases or Big Data technologies, and knowledge of NoSQL (e.g., Mongo) is a plus
exceptional leadership, project management, and development skills
superior analytical and problem-solving abilities

Job Responsibility

Provide clear architectural vision and strategic direction for complex IT systems and applications
develop comprehensive architecture, strategy, and solutions at an enterprise level
drive the technical direction and strategic decisions for the technology function
act as a visionary, proactively assisting in defining the direction for future projects
develop and enforce application methodologies and standards for program analysis, design, testing, and deployment
lead by example in adopting and promoting modern architectural patterns
promote a culture of collaboration, knowledge sharing, and continuous learning
consult with end-users and business stakeholders to identify system function specifications
influence and negotiate with senior leaders and external parties
drive adherence to Citi's engineering excellence and developer manifesto principles

What we offer

Global benefits designed to support employee well-being, growth, and work-life balance

Fulltime

Cross-disciplinary Controls Sr. Lead Analyst

This role involves managing operational risk and control processes with a strong...

Location

Colombia , Bogotá

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry
Ability to identify, measure, and manage key risks and controls
Track record leading Control related projects and programs
Ability to see the big pictures with high attention to critical details
Develop and implement strategy and process improvement initiatives
Comprehensive knowledge of Citi’s businesses and functions and their risk profiles
Developing new ideas and improving current processes to proactively mitigate risks
Requires an ability to provide challenge and make recommendation for risk and controls remediation
Expert knowledge in the development and execution for controls
Proven experience in control related functions in the financial industry

Job Responsibility

Develop and maintain robust MIS reports and dashboards to monitor key risk indicators (KRIs) and control performance indicators (CPIs)
Provide insightful analysis of risk data to support strategic decision-making
Contribute to the development and implementation of AI governance frameworks, ensuring ethical use, transparency, fairness, and accountability of AI systems
Perform assurance activities over AI models and their associated data
Stay abreast of industry trends in risk management, MIS technologies, and artificial intelligence to continuously enhance risk and control capabilities
Support the safe growth and management of the Citi Markets business line and its associated higher risk segments through robust risk mitigation
Identify and assess risk, vulnerabilities, and opportunities for efficient and effective risk coverage
Work within team and across business/functional line management to assess complex issues, structure potential solutions, and drive effective resolution within permissible statutory and regulatory frameworks
Evaluate and respond to escalated matters and further escalate as required
Advise senior management on next steps as needed

What we offer

Global benefits to support well-being, growth and work-life balance.

Fulltime

Cross-disciplinary Controls Sr. Lead Analyst

Individuals in Cross Disciplinary Controls are responsible for multiple activiti...

Location

Colombia , Bogotá

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

15+ years of experience in operational risk management, compliance, audit, or other control-related functions in the financial services industry
Ability to identify, measure, and manage key risks and controls
Track record leading Control related projects and programs
Ability to see the big pictures with high attention to critical details
Develop and implement strategy and process improvement initiatives
Comprehensive knowledge of Citi’s businesses and functions and their risk profiles
Developing new ideas and improving current processes to proactively mitigate risks
Requires an ability to provide challenge and make recommendation for risk and controls remediation
Expert knowledge in the development and execution for controls
Proven experience in control related functions in the financial industry

Job Responsibility

Provide PM/ BA support for global payments related project, focusing on identification & documentation of regional payments activities
Perform root cause analysis of payment related Operational Risk Events and how these will be resolved through identified solutions, identifying any gaps requiring further solutioning
Lead complex audit and operations monitoring reviews across all Markets operation entities in LATAM
Support Ops SME’s in determining key business requirements for identification of payments flows
Identifying and documenting key data elements within processing systems to enable rules-based controls to be set for management of large and anomalous payments
Continually drive and manage controls enhancements focused on increasing efficiency and reducing risk
Foster and maintain relationships with global, regional and local business and technology stakeholders and support engagement in working groups, steercos, and workshops where required
Drive execution of Enterprise Risk Management Framework and adherence with Risk Mgmt. / Compliance Policies
Responsible for the assessment of activities and processes as per required Policies, Standards and Procedures to strengthen risk management quality
Responsible for the coordination and comprehensive management of issues with key stakeholders

Fulltime

Bigdata Support Lead Engineer

The Lead Data Analytics analyst is responsible for managing, maintaining, and op...

Location

India , Bengaluru; Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of total IT experience
5+ years of experience in supporting Hadoop (Cloudera)/big data technologies
5+ years of experience in public cloud infrastructure (AWS or GCP)
Experience with Kubernetes and cloud-native technologies
Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.)
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)
Knowledge of troubleshooting techniques for Hive, Spark, YARN, Kafka, and HDFS
Advanced Linux system administration and scripting skills (Shell, Python)
Experience on designing and developing Data Pipelines for Data Ingestion or Transformation using Spark with Java or Scala or Python

Job Responsibility

Lead day to day operation and support for Cloudera Hadoop ecosystem components (HDFS, YARN, Hive, Impala, Spark, HBase, etc)
Troubleshoot issues related to data ingestion, job failures, performance degradation and service unavailability
Monitor cluster health using Cloudera Manager and respond to alerts, logs, and metrics
Collaborate with engineering teams to analyze root causes and implement preventive measures
Collaborate patching, service restarts, failovers and rolling restarts for cluster maintenance
Assist in user onboarding, access control and issues in accessing the cluster services
Contribute to documentation for knowledge base
Work on data recovery, replication, and backup support tasks
Responsible for moving all legacy workloads to cloud platform
Ability to research and assess open-source technologies, public cloud tech stack (AWS/GCP) components to recommend and integrate into the design and implementation

Fulltime

Lead Java Bigdata Developer

Senior level position responsible for establishing and implementing new or revis...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or related field
Minimum 12 years experience in full stack development with focus on Java
Extensive experience in big data technologies such as Hadoop, Spark, Kafka
Proven leadership experience in managing large-scale data projects
Strong understanding of data governance principles and practices
Excellent problem-solving skills and ability to innovate solutions
Strong communication and interpersonal skills with ability to work collaboratively
Ability to prioritize and manage multiple tasks effectively

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions
Resolve variety of high impact problems/projects through evaluation of complex business processes
Provide expertise in area and advanced knowledge of applications programming
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging
Develop comprehensive knowledge of how areas of business integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues
Serve as advisor or coach to mid-level developers and analysts
Assess risk when business decisions are made
Design, develop, and maintain scalable architecture using Java and full stack technologies
Manage big data technologies for data integration, storage, and analysis

Fulltime

Senior Data Engineering Architect

Location

Poland

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

Proven work experience as a Data Engineering Architect or a similar role and strong experience in in the Data & Analytics area
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges
Proficiency in Python, PySpark, SQL
Familiarity with cloud platforms and services, such as AWS, GCP, or Azure, and experience in designing and implementing data solutions in a cloud environment
Knowledge of data governance principles and best practices, including data privacy and security regulations

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables. Support to team throughout the implementation process, answering questions and addressing issues as they arise
Oversee the implementation of the solution, ensuring that it is implemented according to the design documents and technical specifications

What we offer

Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites
Workation. Enjoy working from inspiring locations in line with our workation policy
Great Place to Work® certified employer
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs. Lingarians earn 500+ technology certificates yearly
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly
Grow as we grow as a company. 76% of our managers are internal promotions

Data Engineering Architect

Data engineering involves the development of solutions for the collection, trans...

Location

India

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

10+ years’ experience in the Data & Analytics area
4+ years’ experience into Data Engineering Architecture
Proficiency in Python, PySpark, SQL
Strong expertise in Azure cloud services such as: ADF, databricks, pyspark, Logic app
Strong understanding of data engineering concepts, including data modeling, ETL processes, data pipelines, and data governance
Expertise in designing and implementing scalable and efficient data processing frameworks
In-depth knowledge of various data technologies and tools, such as relational databases, NoSQL databases, data lakes, data warehouses, and big data frameworks (e.g., Hadoop, Spark)
Experience in selecting and integrating appropriate technologies to meet business requirements and long-term data strategy
Ability to work closely with stakeholders to understand business needs and translate them into data engineering solutions
Strong analytical and problem-solving skills, with the ability to identify and address complex data engineering challenges

Job Responsibility

Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions
Design and oversee the overall data architecture and infrastructure, ensuring scalability, performance, security, maintainability, and adherence to industry best practices
Define data models and data schemas to meet business needs, considering factors such as data volume, velocity, variety, and veracity
Select and integrate appropriate data technologies and tools, such as databases, data lakes, data warehouses, and big data frameworks, to support data processing and analysis
Create scalable and efficient data processing frameworks, including ETL (Extract, Transform, Load) processes, data pipelines, and data integration solutions
Ensure that data engineering solutions align with the organization's long-term data strategy and goals
Evaluate and recommend data governance strategies and practices, including data privacy, security, and compliance measures
Collaborate with data scientists, analysts, and other stakeholders to define data requirements and enable effective data analysis and reporting
Provide technical guidance and expertise to data engineering teams, promoting best practices and ensuring high-quality deliverables
Support to team throughout the implementation process, answering questions and addressing issues as they arise

What we offer

Stable employment
“Office as an option” model
Flexibility regarding working hours and your preferred form of contract
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Internal Gallup Certified Strengths Coach to support your growth
Grow as we grow as a company

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Lead Technology Analyst - Big Data

Job Description

Job Responsibility

Requirements

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