ETL Engineer Job at Citi (Mississauga)

Data Engineer – Snowflake & ETL

We are seeking a Data Engineer in Hyderabad (WFO) with expertise in data enginee...

Location

India , Hyderabad

Salary:

Not provided

Right Angle Solutions

Expiration Date

Until further notice

Requirements

Minimum 5+ years of experience in data engineering, ETL, and Snowflake development
Proven expertise in Snowflake including SQL scripting, performance tuning, and data warehousing concepts
Hands-on experience with Matillion ETL for building and maintaining ETL jobs
Strong understanding of cloud platforms (AWS, Azure, or GCP) and cloud-based data architectures
Proficiency in SQL, Python, or other scripting languages for automation and data transformation
Experience with API integrations and data ingestion frameworks
Knowledge of data governance, security policies, and access control within Snowflake environments
Excellent communication skills with the ability to engage both business and technical stakeholders
Self-motivated professional capable of working independently and delivering projects on time
Qualification: BE/BS/MTech/MS or equivalent work experience

Fulltime

Senior Data Engineer ETL Lead

The Sr Data Engineer ETL Lead is a senior level position responsible for establi...

Location

United States , Irving

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6+ years of relevant experience in Apps Development or systems analysis role
Extensive experience system analysis and in programming of software applications
Experience in managing and implementing successful projects
Subject Matter Expert (SME) in at least one area of Applications Development
Ability to adjust priorities quickly as circumstances dictate
Demonstrated leadership and project management skills
Consistently demonstrates clear and concise written and verbal communication
Bachelor’s degree in Computer Science or equivalent /University degree or equivalent experience
Data Warehouse/ETL design and development methodologies knowledge and experience required
ETL expertise on AbInitio tool (EME, GDE, Co-op) bringing together all components like Unix, Oracle, Storage

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
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

What we offer

Medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave and paid holidays

Fulltime

Senior Data Engineer

We’re growing our team at ELEKS in partnership with a company, the UK’s largest ...

Location

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 4+ years
Hands-on experience with Databricks 2+ years
Experience with Python
Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.)
At least an Upper-Intermediate level of English

Job Responsibility

Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects
End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices
Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management
Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Data Engineer

We are seeking our first Data Engineer, someone who can refine our data infrastr...

Location

United States , New York City; San Francisco

Salary:

190000.00 - 250000.00 USD / Year

Hebbia

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
5+ years software development experience at a venture-backed startup or top technology firm, with a focus on data engineering
Significant hands-on experience in data engineering (ETL development, data warehousing, data lake management, etc.)
Adept at identifying and owning data projects end to end, with the ability to work independently and exercise sound judgment
Proficient in Python and SQL
comfortable working with cloud-based data stack tools
Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration technologies (e.g., Airflow, DBT, or similar)
Experience implementing data governance, security, and compliance measures
Strong collaboration and communication skills, with the ability to translate business requirements into technical solutions
You are comfortable working in-person 5 days a week

Job Responsibility

Architect, build, and maintain ETL pipelines and workflows that ensure high data quality and reliability
Design and manage a central data lake to consolidate data from various sources, enabling advanced analytics and reporting
Collaborate with cross-functional stakeholders (product, engineering, and business) to identify data gaps and develop effective solutions
Implement best practices in data security and governance to ensure compliance and trustworthiness
Evaluate and integrate new technologies, tools, and approaches to optimize data processes and architectures
Continuously monitor, troubleshoot, and improve data pipelines and infrastructure for performance, scalability, and cost-efficiency

What we offer

PTO: Unlimited
Insurance: Medical + Dental + Vision + 401K + Wellness Benefits
Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
Fertility benefits: $15k lifetime benefit
New hire equity grant: competitive equity package with unmatched upside potential

Fulltime

Senior Data Engineer

Senior Data Engineer to design, develop, and optimize data platforms, pipelines,...

Location

United States , Chicago

Salary:

160555.00 - 176610.00 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's degree in Engineering Management, Software Engineering, Computer Science, or a related technical field
3 years of experience in data engineering
Experience building data platforms and pipelines
Experience with AWS, GCP or Azure
Experience with SQL and Python for data manipulation, transformation, and automation
Experience with Apache Airflow for workflow orchestration
Experience with data governance, data quality, data lineage and metadata management
Experience with real-time data ingestion tools including Pub/Sub, Kafka, or Spark
Experience with CI/CD pipelines for continuous deployment and delivery of data products
Experience maintaining technical records and system designs

Job Responsibility

Design, develop, and optimize data platforms, pipelines, and governance frameworks
Enhance business intelligence, analytics, and AI capabilities
Ensure accurate data flows and push data-driven decision-making across teams
Write product-grade performant code for data extraction, transformations, and loading (ETL) using SQL/Python
Manage workflows and scheduling using Apache Airflow and build custom operators for data ETL
Build, deploy and maintain both inbound and outbound data pipelines to integrate diverse data sources
Develop and manage CI/CD pipelines to support continuous deployment of data products
Utilize Google Cloud Platform (GCP) tools, including BigQuery, Composer, GCS, DataStream, and Dataflow, for building scalable data systems
Implement real-time data ingestion solutions using GCP Pub/Sub, Kafka, or Spark
Develop and expose REST APIs for sharing data across teams

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Annual incentive program

Fulltime

Tableau Data Engineer

A RDS Tableau data engineer is responsible for designing, building and maintaini...

Location

Portugal , Porto

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Relevant professional experience as a data engineer is mandatory (3-5 years)
Knowledge of ETL (Extract, Transform and Load) data integration process is mandatory
Proficiency in SQL is mandatory
Proficiency in Python is mandatory
Proficiency in Tableau is mandatory
Fluent in English

Job Responsibility

Designing, building and maintaining the data infrastructure that supports Tableau-based analytics and reporting
Integrating data from various sources, transforming it into usable formats and creating efficient data models for analysis
Developing and maintaining Tableau dashboards and reports, ensuring data accuracy and collaborating with stakeholders to deliver data-driven insights
Work closely with business stakeholders to understand their data needs and reporting requirements
Support the project manager on all Tableau Server and Tableau Desktop related subjects
Follow-up of both design and production teams on the tool's implementation
Provide technical support to the development team
Configuration of the solution on non-production environments
Regular upgrade of Tableau Server version
Support the business lines on the handling of Tableau solutions and implementation of best practices

Fulltime

Data Engineer

As a Data Engineer at Rearc, you'll contribute to the technical excellence of ou...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in data engineering, data architecture, or related fields
Solid track record of contributing to complex data engineering projects
Hands-on experience with ETL processes, data warehousing, and data modelling tools
Good understanding of data integration tools and best practices
Familiarity with cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong analytical skills
Proficiency in implementing and optimizing data pipelines using modern tools and frameworks
Strong communication and interpersonal skills

Job Responsibility

Collaborate with Colleagues to understand customers' data requirements and challenges
Apply DataOps Principles to create scalable and efficient data pipelines and architectures
Support Data Engineering Projects
Promote Knowledge Sharing through technical blogs and articles

Data Engineer

We are looking for a Data Engineer with a collaborative, “can-do” attitude who i...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Engineering, Computer Science or related discipline, Master’s Degree preferred
3+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
3+ years of experience with setting up and operating data pipelines using Python or SQL
3+ years of advanced SQL Programming: PL/SQL, T-SQL
3+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
3+ years of strong and extensive hands-on experience in Azure, preferably data heavy/analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
3+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
3+ years of experience in defining and enabling data quality standards for auditing, and monitoring
Strong analytical abilities and a strong intellectual curiosity

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals
Demonstrate technical and domain knowledge of relational and non-relational databases, Data Warehouses, Data lakes among other structured and unstructured storage options
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development
Efficient in ELT/ETL development using Azure cloud services and Snowflake, including Testing and operational support (RCA, Monitoring, Maintenance)
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines for scalable analytics deliver
Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders
Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability)
Stay current with and adopt new tools and applications to ensure high quality and efficient solutions
Build cross-platform data strategy to aggregate multiple sources and process development datasets

Fulltime

ETL Engineer

Citi

Location:
Canada , Mississauga

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 01, 2026

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