Data engineer [h1.location_city]
[job_alerts.create_a_job]
Data engineer • springfield ma
- [promoted]
Data Engineer - Cyber Security and Data Analytics
MindlanceSpringfield, MA, United StatesSenior Data Engineer
ResonateSpringfield, MA, United StatesData Engineer
Altados TousAutre ville, MASenior Data Architect
Calliere GroupSpringfield, MA, United States- [promoted]
Data collector / Driver
TSMGSpringfield, MA, US- [promoted]
Remote Data Entry Specialist
Maxion CorpSpringfield, MA, USOP Corporate Bank - Data Scientist
MPS BalticSpringfield, MA, USData Systems Analyst
Community Foundation of Western MassachusettsSpringfield, MA, USLead Data Engineer
RIT SolutionsSpringfield, MA, United States- [promoted]
Remote Data Entry Clerk
USASJBFeeding Hills, MA, USSales Supervisor with data analysis
AM Lithography CorpChicopee, MA, US- [promoted]
Director of Data
WikimediaSpringfield, MA, US- [promoted]
Data Platform Manager
ISO New EnglandHolyoke, MA, United StatesStaff Data Scientist
CrunchbaseMassachusetts, United StatesData Engineer
Staffing the UniverseSpringfield, MA, United StatesCloud Data Engineer (JUNIOR)
SynergisticITSpringfield, MA, United States- [promoted]
Data Science Manager
KudaSpringfield, MA, USData Engineer
VirtualVocationsSpringfield, Massachusetts, United States- [promoted]
Home Based Data Entry Typist
ContecSpringfield, MA, USData Engineer - Cyber Security and Data Analytics
MindlanceSpringfield, MA, United States- [job_card.full_time]
Tasks :
Data Pipeline Development : Design, implement, and maintain robust, scalable, and efficient data pipelines using Jenkins for automated data extraction, transformation, and loading (ETL) processes.
Relational Database Management : Manage and optimize relational databases (e.g., MySQL, PostgreSQL) to ensure data integrity, availability, and performance for diverse applications and analytical purposes.
API Integration : Collaborate with software developers to integrate data from various sources through APIs, ensuring seamless data flow between systems and applications.
Data Modeling and Architecture : Create and maintain data models and data architecture to support analytics and reporting needs, ensuring data consistency and proper documentation.
Data Analysis and Insights : Utilize Python and RDS to perform advanced data analysis, interpret complex data sets, and deliver actionable insights to key stakeholders and decision-makers.
Performance Optimization : Identify and resolve performance bottlenecks within data pipelines, databases, and queries to improve system efficiency and response times.
Data Quality Assurance : Implement data quality checks and validation processes to ensure the accuracy and reliability of data throughout the data ecosystem.
Data Security and Compliance : Maintain data security standards and compliance with data protection regulations, implementing necessary measures to safeguard sensitive information.
Collaboration and Communication : Work closely with cross-functional teams, including data scientists, business analysts, and IT, to understand data requirements, develop solutions, and present findings effectively.
Skills :
Bachelor's degree or relevant experience in Computer Science, Data Science, Information Technology, or a related field. Advanced degree / experience is preferred.
Proven experience as a Data Engineer, Data Analyst, or a related role with a strong technical background in Jenkins, Relational Databases, APIs, Python, and RDS.
Solid understanding of data modeling, database design principles, and data warehousing concepts.
Proficiency in programming languages like Python, SQL, and RDS for data manipulation, analysis, and automation tasks.
Familiarity with cloud-based technologies, such as AWS, GCP, or Azure, and the ability to leverage cloud services for data management.
Experience with Jenkins for automated build, test, and deployment processes.
Strong problem-solving skills and the ability to troubleshoot data-related issues efficiently.
Excellent communication and collaboration skills to work effectively in a team-oriented environment.
A passion for data-driven decision-making and a keen eye for detail.
Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority / Gender / Disability / Religion / LGBTQI / Age / Veterans."