Systems Analyst Data Integration & ETL Job at MMC Group LP (Austin)

Lead ETL Data Integration Developer

The Lead ETL Data Integration Developer is responsible for the design, develop, ...

Location

United States , Los Angeles

Salary:

121056.00 - 199742.00 USD / Year

L.A. Care Health Plan

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or Related fields
like: Statistics, Math, or Business Systems
At least 6 years of experience designing, developing, and testing ETL interfaces aligned with defined requirements preferably in a healthcare, or analytical or technological industries
At least 3 years of leading process, program, or staff experience
Experience in software development and design with strong emphasis on Data warehousing concepts, database design patterns, ETL methodologies, Processing and Transforming massive quantities of Data, Data cleansing, Data quality and Performance Tuning of ETL and database processes
Experience with Erwin data modeling toolset
Extensive experience in strategizing roadmap projects, data modeling, designing ETL framework and data mart life cycle development and providing technical supervision on implementation of large end-to-end Data Warehouse applications
Experience in UNIX Shell / Python Scripting for automation of batch and ETL jobs
Strong technical skill to learn, certified and lead team to EDM technology roadmap
The Enterprise Data Platforms includes Cloud based Informatica tool, IICS

Job Responsibility

Responsible for the requirement analysis, design, development, architecture, implementation and support of enterprise-wide databases
Participates in requirements gathering sessions with business and technical staff to distill technical requirements from business requests
Present ETL documentation and designs to team members and convey complex information in a clear and concise manner
Leads the work of assigned staff
regularly assigns and checks the work of others, providing guidance, training and feedback on performance to department management
Oversees the daily office workflow, develops and recommends enhancements to process and procedures
Contributes to the technical decisions, working with managers to provide coaching, counseling and feedback on technical performance and implementations on projects members
Provide detailed plans and estimates for all phases of a project
Delivers data integration through the implementation of shared databases, modification and optimization of current systems, managing the exchange and storing of data, and making recommendations when upgrades or changes are needed to maintain smooth operations
Optimizes data warehouse performance by dealing with any data conflicts that arise and keeping data definitions up to date

What we offer

Paid Time Off (PTO)
Tuition Reimbursement
Retirement Plans
Medical, Dental and Vision
Wellness Program
Volunteer Time Off (VTO)

Fulltime

Data Systems & Integration Engineer

Location

United States , Colorado Springs

Salary:

75000.00 - 90000.00 USD / Year

Vladimir Jones

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.
Proven experience in data engineering, software development, or related roles.
Proficiency in programming languages commonly used in data engineering (e.g., Python, Java, Scala, etc.).
Use data analytics software (SQL, SAS, R, etc.) to clean and organize large data sets to be used in analyses
Design, diagnose, and deploy statistical models to analyze and interpret data using a statistical software package such as R, SAS, or Stata
Strong knowledge of database systems, data modeling techniques, and SQL proficiency.
Proficiency with ETL tools commonly used in data engineering (e.g., SSIS, Databricks, etc.).
Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.).
Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.).
Excellent problem-solving skills and attention to detail.

Job Responsibility

Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
Implement data validation and quality checks to ensure accuracy and consistency.
Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
Optimize data storage and retrieval mechanisms for performance and scalability.
Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.
Maintain dataset integrity and optimize builds to work in AI Agent and BI Visualizations.
Build and maintain integrations with internal and external data sources and APIs.
Integrate agency AI initiatives into workflow processes and dataflows.
Implement RESTful APIs and web services for data access and consumption.

What we offer

401k + employer match
Medical, Dental, Vision
Life and short-term disability (100% employer paid)
Voluntary long-term disability
EAP
9 paid holidays
PTO, Floating Holiday, Volunteering Day
Education reimbursement
Employee referral program
Employee recognition program where points turn into money!

Fulltime

Data Engineer / Systems Analyst III - Emerging Technologies

We are seeking an experienced Data Engineer / Systems Analyst III to support a m...

Location

United States , Austin

Salary:

Not provided

MMC Group LP

Expiration Date

Until further notice

Requirements

8+ years of experience developing ETL mappings and workflows using Informatica PowerCenter or Informatica IICS
8+ years of experience integrating data from multiple data sources and technologies including Oracle, SQL Server, Excel, Microsoft Access, Adobe PDF
8+ years of experience designing and developing complex Snowflake SQL scripts
8+ years of experience supporting data analytics, performance management, or enterprise data warehouse initiatives
Strong analytical, troubleshooting, and systems analysis skills
Experience producing technical documentation, diagrams, and data mappings
Experience with Visio, Erwin, Microsoft Office Suite, and MS Project
Proven ability to write scalable, testable, and efficient code
Experience delivering enterprise software solutions across multiple business units

Job Responsibility

Lead and contribute to Agile data engineering and systems analysis initiatives
Design, develop, and maintain complex ETL workflows and data integration processes
Acquire and integrate data from multiple enterprise and external data sources
Develop advanced Snowflake SQL scripts optimized for scalability and performance
Create dimensional data models, database views, and materialized views
Develop and automate data workflows using Informatica PowerCenter and/or Informatica IICS
Collaborate with architects, developers, analysts, and stakeholders to design optimal data solutions
Participate in sprint planning, standups, retrospectives, and other Agile ceremonies
Conduct validation, testing, troubleshooting, and performance optimization
Produce technical documentation, diagrams, specifications, and mapping documents

What we offer

Medical, dental, and vision coverage
Life and disability insurance
Additional voluntary benefits

Fulltime

Sap Data Analyst - Data Migration

Location

Canada , Calgary

Salary:

Not provided

Randstad

Expiration Date

August 15, 2026

Requirements

3–7 years of professional experience in data analysis or data migration roles, specifically within large-scale SAP or ERP transformation programs
Proven experience supporting SAP data migration projects (ECC to S/4HANA path is highly preferred)
Hands-on experience using SAP BODS (or equivalent enterprise ETL tools) alongside MS Power BI for dashboard development
Advanced Excel skills (pivots, VLOOKUPs/XLOOKUPs, data profiling filters) with a demonstrable history of producing clear data quality and exception reports
Solid familiarity with SAP ECC and S/4HANA data tables, master data characteristics, and relational dependencies
Thorough understanding of data profiling, mapping, cleansing, validation, and reconciliation frameworks
Experience navigating full mock runs, defect triage, re-runs, and cutover readiness activities
Detail-Oriented
Excellent communication skills
Strong organizational and time management skills

Job Responsibility

Support end-to-end data migration activities transferring data from SAP ECC and other legacy source systems to SAP S/4HANA
Analyze source system data to thoroughly assess completeness, accuracy, and technical readiness
Maintain and update critical data migration artifacts, including Source-to-Target mappings, data validation rules, transformation logic, and comprehensive data object/structure documentation
Develop a deep operational understanding of business process data sets across ECC, S/4HANA, and integrated peripheral systems
Execute and support data migration mock cycles (Mock 1, Mock 2, etc.) including re-runs and stabilization activities
Analyze migration run results, manage data defects, and drive exceptions through to final resolution
Produce, review, and validate data quality reports, exception logs, and reconciliation results to support go/no-go data readiness assessments
Collaborate closely with Data Stewards to review, validate, and support hands-on data cleansing outcomes and remediation planning
Identify recurring data quality trends and contribute directly to root-cause analysis
Provide functional oversight and unit testing for data migration objects built in SAP BODS

Data Engineer - Data Integration

Data Engineer - Data Integration, IBM Corporation, Armonk, NY and various unanti...

Location

United States , Armonk, NY and various unanticipated client sites throughout the US

Salary:

167835.00 - 216700.00 USD / Year

The New York Times

Expiration Date

Until further notice

Requirements

Master's degree or equivalent in Computer Science or related (employer will accept a bachelor's degree plus five (5) years of progressive experience in lieu of a master's degree) and one (1) year of experience as a Data Engineer or related
One (1) year of experience must include utilizing Google Cloud Platform (Google Big Query, Cloud Storage, Google Looker), Procedural language/Structured Query Language (PL/SQL), Informatica, DataStage, Data Integration, Data Warehousing, Database Design / Modelling, Data Visualization (Power BI/ Crystal reports)

Job Responsibility

Manage the end-to-end delivery of data migration projects, implementing ETL/ELT concepts and leveraging ETL tools such as Informatica and DataStage, and cloud platforms like Google Cloud
Design and build end-to-end data pipelines to extract, integrate, transform, and load data from diverse source systems into target environments such as databases, data warehouses, or data marts
Collaborate with clients to define data mapping and transformation rules, ensuring accurate application prior to loading
Normalize data and establish relational structures to support system migrations
Develop processes for data cleaning, filtering, aggregation, and augmentation to maintain data integrity
Implement validation checks and data quality controls to ensure accuracy and consistency across systems
Create, maintain, and optimize SQL procedures, functions, triggers, and ETL/ELT processes
Develop, debug, and maintain ETL jobs while applying query optimization techniques - such as indexing, clustering, partitioning, and use of analytical functions - to enhance performance on large datasets
Partner with data analysts, data scientists, and business stakeholders to understand requirements and ensure delivery of the right data
Capture fallouts and prepare reports using Excel, Power BI, Looker, Crystal Reports, etc

Fulltime

New

Data Analyst

We are looking for a Data Analyst to join a non-profit organization in a contrac...

Location

United States , Centreville

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Experience in data analysis with a strong background in building and maintaining data pipelines or integration workflows
Working knowledge of ETL or ELT development, SQL, stored procedures, and data transformation techniques
Ability to identify data issues, perform root-cause analysis, and implement controls that improve data accuracy
Familiarity with data warehousing, data lakes, and performance tuning for databases or reporting environments
Experience supporting business intelligence reporting with reliable datasets for tools such as Power BI or Tableau
Understanding of data governance, security practices, and retention requirements in a structured environment
Exposure to modern cloud data platforms such as Azure Data Factory, Synapse, Snowflake, Databricks, or related technologies
Knowledge of fraud analytics, fraud investigation, anti-fraud practices, or suspected fraud analysis is valued

Job Responsibility

Develop and support data integration workflows that move information from internal systems, cloud environments, and external applications into centralized reporting platforms
Create, refine, and maintain scalable data pipelines that deliver accurate and timely datasets for analytics, operational reporting, and business intelligence tools
Investigate data inconsistencies, resolve processing issues, and establish validation checks to improve reliability and integrity across data assets
Contribute to data warehouse and data lake efforts by shaping transformation rules, supporting data models, and improving overall processing performance
Partner with stakeholders to understand reporting and analytical needs, then translate those needs into efficient and sustainable data solutions
Prepare and maintain clear technical documentation covering data mappings, process logic, workflow design, and integration steps
Enhance database and query performance while supporting scheduling, automation, and operational stability for recurring data jobs
Provide dependable data support for visualization and reporting platforms such as Power BI, Tableau, and similar business intelligence tools
Participate in data migration, application integration, and master data management initiatives as part of broader enterprise data projects
Help uphold data governance, security, and retention standards across integration and reporting processes

What we offer

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

Data Analyst

We are seeking a detail-oriented Data Analyst to join our Data & AI team. In thi...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Proven experience (3-5 years) in data analytics, process-oriented or a similar role
Proficiency in PowerBI (dashboards and extensive DAX experience), SQL, excellent knowledge of MS Excel
Working knowledge of data modeling and ETL processes
Ability to interpret complex data sets and translate them into clear, actionable insights that support operational performance and business growth
Solid understanding of business strategies, market trends, and how data can be leveraged to optimise outcomes
Ability to analyse data to improve customer satisfaction and create seamless customer experience
Familiarity with data lakes, data warehouses and cloud platforms (preferably GCP)
Strong stakeholder management skills with the ability to effectively communicate data insights to non-technical audiences and leadership team
Bachelor’s degree in Business, Data Science, Economics, or a related field

Job Responsibility

Analyse operational data to identify trends, inefficiencies, and opportunities
Build and maintain interactive dashboards and automated reports using PowerBI
Leverage understanding of database design, data modeling principles, and SQL to structure data effectively
Identify manual processes and propose data-driven automation solutions
Analyse historical performance data to support workforce and capacity planning
Collaborate with data engineers or independently design efficient ETL processes
Perform on-demand analysis to support urgent business questions
Work with diverse business teams to understand analytical needs, translate them into technical requirements
Lead BI projects from conception to completion
Monitor data integrity across systems

What we offer

Vibrant international team operating in hi-tech environment
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus
Teambuilding, social activities and networks on a multi-national level
Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full Luxury package health insurance including dental care and optical glasses

Fulltime

QA Lead – Integration & Systems Testing

Our client is seeking an experienced QA Lead – Integration & Systems Testing to ...

Location

Canada , Toronto

Salary:

Not provided

Myticas Consulting

Expiration Date

Until further notice

Requirements

6+ years of Quality Assurance experience
Minimum 2 years leading QA teams or QA strategy
Strong experience testing System Integrations
REST APIs
ETL Pipelines
Event-driven architectures
Experience with Postman
RestAssured (or similar)
Kafka / messaging platforms
SQL data validation

Job Responsibility

Define and own the end-to-end QA strategy for functional, integration, regression, and non-functional testing
Design test scenarios for APIs, ETL processes, Kafka event streams, and AWS Lambda integrations
Lead QA activities across SIT, UAT, regression, and production readiness
Develop traceability between business requirements, test cases, and defects
Validate source-to-target data mapping and data integrity across integration points
Manage test environments, test data, and entry/exit criteria
Partner with Business Analysts, Technical Leads, and Project Managers to identify quality risks early
Manage defect lifecycle using Jira, Zephyr, or similar tools

Fulltime

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Systems Analyst Data Integration & ETL

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