Data Engineer Job at Realign (Toronto)

New

Data Engineer

Join us as a Data Engineer. At Barclays, we don’t just adapt to the future, we c...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong hands-on experience in ETL technologies, Ab Initio GDE and EME
Strong hands-on experience on SQL, Hive, Impala
Strong hands-on experience on Unix, Hadoop, Spark
Hands-on experience in Python
Experience working with cloud platforms, especially AWS
Strong knowledge of Data warehousing
Proficiency in Gitlab, CI/CD
Practical knowledge and hands‑on experience with AI-powered development tools such as Copilot, Claude Code, and GitLab Duo
Familiarity with data visualization tools such as Tableau, Grafana
Knowledge of data messaging platforms like Apache Kafka

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Data Engineer

Join us as a Data Engineer. At Barclays, we don't just adapt to the future, we c...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Hands on experience in Abinitio ETL tool
Hands on experience in python and pyspark and strong knowledge on Dataframes, RDD and SparkSQL
Hands on Experience in developing, testing and maintaining applications on AWS Cloud
Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)
Experience in Writing advanced SQL and PL SQL programs
Experience in AWS data pipeline development
Hands On Experience for building reusable components using AWS Tools/Technology
Should have worked at least on two major project implementations

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Data Engineer

Join us as a Data Engineer at Barclays, where you will spearhead the evolution o...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong in Abinitio (GDE), Unix and Data warehousing concepts
Working experience in Linux/UNIX
Ability to understand source to target ETL mappings
Ability to design, develop and maintain Abinitio graphs
Ability to explain functional and technical details
Well versed in data integration, batch processing, and delta processing
Hands-on experience on UNIX shell scripts to automate routine task
Strong understanding on job schedulers
Hands-on experience on database
Analyse and trouble shoot issues

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Data Engineer

We are seeking a Data Engineer with strong experience in Microsoft Azure and Dat...

Location

United States , Jacksonville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of Data Engineering experience
Hands-on experience with Azure Databricks
Experience with Azure services such as: Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure SQL Database
Strong SQL development skills
Experience with Python, PySpark, or Spark
Experience building and maintaining ETL/ELT pipelines
Understanding of data warehousing concepts and dimensional modeling
Experience working with large datasets in cloud environments

Job Responsibility

Design, develop, and maintain scalable data pipelines in Azure and Databricks
Build and optimize ETL/ELT processes for structured and unstructured data
Develop and support data lake, data warehouse, and analytics solutions
Integrate data from multiple internal and external sources
Collaborate with business analysts, data scientists, and stakeholders to understand data requirements
Ensure data quality, integrity, security, and governance standards are met
Monitor and troubleshoot data workflows and performance issues
Create and maintain technical documentation and data models
Support reporting and analytics initiatives by delivering reliable datasets

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

New

Data Engineer

Design, build, and maintain scalable data pipelines and ETL/ELT processes. Devel...

Location

United States , Austin

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering, data integration, or a related role
Strong proficiency in SQL and experience working with large, complex datasets
Experience building and maintaining ETL/ELT data pipelines
Proficiency in at least one programming language (Python, Java, Scala, or similar)
Hands‑on experience with data warehouses and data platforms (Snowflake, Redshift, BigQuery, Databricks, etc.)
Experience working in cloud environments (AWS, Azure, or GCP)
Familiarity with data modeling, schema design, and performance optimization
Experience integrating data from APIs, databases, and streaming sources
Strong problem‑solving and troubleshooting skills related to data pipelines and performance
Ability to collaborate with data analysts, data scientists, and business stakeholders

Job Responsibility

Design, build, and maintain scalable data pipelines and ETL/ELT processes
Develop and manage data architectures such as data warehouses, data lakes, and lakehouses
Ingest and integrate data from multiple sources (databases, APIs, streaming platforms)
Ensure data quality, integrity, and reliability across systems
Optimize data processing, storage, and query performance
Collaborate with data analysts, data scientists, and business teams to support analytics and reporting needs
Implement automation for data workflows, monitoring, and error handling
Troubleshoot and resolve data pipeline issues and performance bottlenecks
Support batch and real‑time data processing frameworks
Document data models, pipelines, and data engineering processes

What we offer

medical
vision
dental
life and disability insurance
enrollment in company 401(k) plan

New

Data Engineer

This position will play a key role in strengthening an established Microsoft Fab...

Location

United States , Westchester

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience building and maintaining solutions within Microsoft Fabric
Strong knowledge of data modeling concepts and layered architecture patterns, including Bronze, Silver, and Gold frameworks
Experience working in Azure-based data environments and delivering cloud-oriented data engineering solutions
Demonstrated ability to apply independent judgment to data design decisions rather than simply executing predefined requests
Background in ingesting, transforming, and modeling Salesforce data for analytics or reporting purposes
Familiarity with legacy reporting or warehousing environments, including spreadsheet-heavy processes and older platform patterns
Experience with tools and technologies such as Python, Apache Spark, ETL processes, and related big data or streaming concepts
Strong communication skills and confidence working directly with business partners to clarify needs and explain technical recommendations

Job Responsibility

Expand and enhance an existing Microsoft Fabric data platform to improve performance, consistency, and downstream usability
Develop layered data solutions using Bronze, Silver, and Gold design principles, with particular attention to delivering trusted and analytics-ready Gold datasets
Create and refine data models that support accurate reporting by evaluating data relationships, structure, quality, and business context
Build ingestion and transformation pipelines for Salesforce data along with additional source systems used across the organization
Contribute to the evolution of reporting and warehousing practices by reducing dependence on legacy approaches and spreadsheet-driven processes
Work autonomously on technical deliverables while providing clear updates on milestones, design decisions, dependencies, and potential issues
Partner with business stakeholders to understand reporting needs and translate them into effective data structures that support analytics and visualization tools
Use data engineering technologies such as Python, Spark, ETL frameworks, and related platform capabilities to deliver scalable solutions
Support report-oriented data design by preparing curated datasets that align with Power BI and other business intelligence use cases

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

New

Data Engineer

We are looking for a talented Data Engineer to join our team in Miami, Florida. ...

Location

United States , Miami

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience in data engineering with expertise in Snowflake, Python, and ETL processes
Strong knowledge of data warehouse design and optimization
Proficiency in working with Apache Spark, Hadoop, and Kafka
Solid understanding of data modeling, transformation, and integration techniques
Familiarity with data security, privacy, and compliance standards
Ability to troubleshoot and solve complex data-related issues
Excellent communication and collaboration skills to work effectively with cross-functional teams
Bachelor's degree in Computer Science, Information Technology, or a related field

Job Responsibility

Design and implement scalable data pipelines using Snowflake, Python, and other relevant tools
Collaborate with stakeholders to gather and refine data requirements, ensuring alignment with business needs
Develop and maintain data models to support analytics, reporting, and operational processes
Optimize data warehouse performance by tuning queries and managing resources effectively
Ensure data quality through rigorous testing and governance protocols
Implement security and compliance measures to protect sensitive data
Research and integrate emerging technologies to enhance system capabilities
Support ETL processes for data extraction, transformation, and loading
Work with technologies such as Apache Spark, Hadoop, and Kafka to manage and process large datasets
Provide technical guidance and support to team members and stakeholders

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

New

Data Engineer

Robert Half is seeking a Contract Data Engineer to support our client’s data and...

Location

United States , Nashville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proven experience as a Data Engineer or in a similar role
Strong proficiency in SQL and Python (or similar languages)
Experience with cloud platforms (AWS, Azure, GCP)
Hands-on experience with ETL / ELT tools (Airflow, dbt, Fivetran, Matillion, Glue, ADF, etc.)
Experience with data warehousing platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Familiarity with streaming and big data tools (Kafka, Spark, Databricks, Hadoop) is a plus
Strong understanding of data modeling, performance tuning, and pipeline optimization
Experience with version control systems (Git) and agile development practices
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources
Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs
Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions
Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse
Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required
Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency
Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability
Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions
Maintain detailed documentation for pipelines, data flows, and system architecture

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan

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