Data Engineer ETL Developer Job at Citi (Tampa)

Data Engineer ETL Developer

The Data Engineering ETL Developer is an intermediate-level position responsible...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
5-8 years of hands-on experience in data systems analysis and ETL development
Proven, in-depth expertise with the Ab Initio platform (GDE, Co>Operating System, EME) is mandatory
Strong proficiency in SQL and experience with relational databases (e.g., Oracle, Teradata)
Solid experience with Unix/Linux environments and shell scripting
Demonstrated experience in managing and implementing successful data-centric projects, preferably within the financial services industry

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

Fulltime

EDW ETL Developer - Azure Data Engineer

We are seeking a Senior Azure Data Engineer to help design, build, and operate o...

Location

United States , Springfield

Salary:

50.00 - 53.00 USD / Hour

Myticas Consulting

Expiration Date

Until further notice

Requirements

Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Selfhosted, SSIS)
Strong Experience in Data Bricks and PySpark
Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake)
Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security)
Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints)
Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL
Advanced SQL — window functions, CTEs, query optimization, execution plan analysis, performance tuning
Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing (pytest)
Proficient in T-SQL
familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting

Job Responsibility

Design and build robust, reusable, parameter-driven ingestion and transformation pipelines using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory
Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns
Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate
Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark
Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption
Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns
Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes
Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments
Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL
Define and enforce coding standards, code review practices, branching strategies, and release management

Fulltime

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

New

ETL Data Engineer

We are currently seeking a ETL Data Engineer - HYBRID to join our team in Halifa...

Location

Canada , Halifax

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6+ years of overall experience in data engineering, data warehousing, or cloud data platform development
6+ Years of Strong hands-on experience in: SQL (advanced), Python / Spark / Scala, ETL/ELT frameworks, Data modeling and warehousing concepts
6+ Years of Experience with at least one major cloud data platform: Snowflake or Databricks
6+ Years of Experience building enterprise-scale data pipelines and ingestion frameworks
6+ Years of Languages & Processing: SQL, Python, PySpark, Scala
6+ Years of Cloud & Warehousing: AWS, Azure, Snowflake, Databricks, Redshift, Synapse
6+ Years of Data Engineering Tools: Airflow, dbt, Kafka, Informatica, Talend
6+ Years of DevOps & Automation: Git, CI/CD, Terraform, Docker, Kubernetes
6+ Years of Data Governance: Lineage, Metadata, Data Quality, Data Reconciliation
Bachelors in Computer Science or equivalent work experience

Job Responsibility

Cloud Data Warehousing & Engineering
Data Pipeline Development
Data Modeling & Warehousing
Cloud Platform Engineering
Data Quality, Governance & Security
Performance Optimization
DevOps & Automation

Fulltime

ETL Data Engineer

The ETL Data Engineer is responsible for participation in the establishment and ...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ years of relevant experience
Hands-on experience with Ab Initio or any other ETL tools (required) on Unix/Linux and Windows platforms
Strong knowledge of Data Warehouse and ETL architecture, design principles, and development methodologies
Broad cross‑functional IT experience, including application integration and interface design
Experience managing and resolving complex issues across ETL processes, SQL workloads, and Unix scripts
Hands‑on database application development using Oracle and/or MySQL
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Has the ability to operate with a limited level of direct supervision
Advocates for continuous improvement, particularly in code quality, testability, reliability, and operational excellence
Enthusiastic about rapid technological change and comfortable adopting new tools, platforms, and methodologies
Capable of working across a broad technology spectrum, from legacy systems to modern big‑data and distributed platforms
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

Fulltime

Software Developer / Data Engineer

Location

United States , Huntsville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

2+ years of experience in data engineering, software development, or machine learning
Strong Python development skills and experience with data pipelines
Experience with tools such as Apache Airflow, Linux, Docker, Git
Familiarity with SQL, NoSQL, ORMs, and distributed data systems
Experience working in Agile environments
Bachelor’s degree in a related field
Active or eligible for TS/SCI clearance (U.S. must be eligible to work in the U.S. required)

Job Responsibility

Design and implement scalable data pipelines and data architectures
Develop and optimize data storage solutions (SQL, NoSQL, graph databases)
Support ETL processes and ensure efficient data throughput and performance
Work closely with stakeholders to translate data requirements into technical solutions
Maintain and enhance data infrastructure using tools like Apache Airflow and Docker

What we offer

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

Fulltime

Senior Data Engineer (ETL & PL/SQL)

As a Senior Data Engineer, you are responsible for designing, developing, and im...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Minimum 7 years of hands-on experience in Talend ETL development
At least 5 years of end-to-end experience designing, building, and implementing data store/data marts/data warehouses
Strong proficiency in Oracle PL/SQL development, including performance tuning and optimization
Strong knowledge of key Oracle performance features such as query optimizer, execution plans, and indexes
Experience working with Oracle Autonomous Database (ADB) is preferred
Solid understanding of data modelling, data governance, and data integration best practices
Excellent technical skills in ETL tools for integration with Oracle and other RDBMS databases
Good technical skills in UNIX shell scripting and scheduling
Have experience working in Agile environments with distributed, cross-functional teams
Ability to evaluate, understand, and implement detailed business, functional, and non-functional technical requirements

Job Responsibility

Design, develop, and implement data store solutions to support operational and business needs
Build and maintain robust ETL pipelines using Talend and implement automated deployment workflows for these ETL processes with CI/CD tools
Develop, optimize, and tune Oracle PL/SQL queries, procedures, and packages to ensure high performance and reliability
Ensure data quality, integrity, and security across all data platforms
Monitor, troubleshoot, and resolve data workflow and performance issues proactively
Translate business requirements into effective technical solutions, ensuring alignment throughout the project lifecycle
Prepare and maintain comprehensive documentation for technical designs, data flows, and operational procedures
Perform thorough testing to guarantee solution reliability and data integrity
Collaborate with project managers, business analysts, and cross-functional teams to ensure solutions meet business goals and stakeholder expectations
Support implementation activities and provide post-launch support to ensure smooth operations

Senior Data Engineer (ETL+Spark)

Our client is a leading US‑based insurance company serving more than 25 million ...

Location

Argentina , Buenos Aires

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience as a Data Engineer
Strong proficiency with Databricks (3+ years), Spark, and ETL pipelines
Experience with Delta Lake
Familiarity with the Hadoop ecosystem
Experience or understanding of on‑prem HDFS
Upper-Intermediate level of English

Job Responsibility

Design, develop, and maintain reliable software in line with technical requirements, focusing on performance and availability
Analyze requirements, review designs, and estimate user stories following project methodology (Agile, Waterfall, etc)
Proactively propose code refactoring and optimization improvements according to the best software development practices and coding standards
Help maintain and improve high-quality standards within the developer community by sharing knowledge, conducting tech talks, and participating in the internal promotion verification process
Stay up-to-date with modern technology and obtain professional certifications
Support less experienced developers by providing training, distributing, and monitoring tasks

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

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Data Engineer ETL Developer

Job Description

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