Posted on 10/30/2024

Senior Data Engineer

Experience: 7 Years, Salary: Not disclosed, Job Code (JPC - 1002), Location: Bedford, Nashua, USA,

Data Engineer

Job highlights:

Minimum 6+ year(s) of experience is required.
Create data pipelines,ensure data quality,and implement ETL (extract,transform and load) processes to migrate and deploy data across systems.
Must have skills : Informatica Intelligent Cloud Services.

Project Role

Senior Data Engineer

Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills :Informatica Intelligent Cloud Services

Minimum 6+ year(s) of experience is required.
Create data pipelines,ensure data quality,and implement ETL (extract,transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica Intelligent Cloud Services. Good to have skills : NA

Good to have skills

Minimum 6+ year(s) of experience is required

Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and optimizing data infrastructure to support business needs and drive data-driven decision-making.

Roles & Responsibilities:

Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work-related problems.
Design and develop data solutions for data generation, collection, and processing.
Create and maintain data pipelines to ensure efficient data flow.
Implement ETL (extract, transform, load) processes to migrate and deploy data across systems.
Ensure data quality and integrity by performing data validation and cleansing.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.
Optimize data infrastructure and performance to support business needs.
Troubleshoot and resolve data-related issues in a timely manner. Professional & Technical Skills:
Must To Have Skills: Proficiency in Informatica Intelligent Cloud Services.
Strong understanding of data engineering concepts and best practices.
Experience with data integration, data warehousing, and data modeling.
Hands-on experience with SQL and scripting languages like Python or Java.
Familiarity with cloud platforms such as AWS or Azure.
Good To Have Skills: Experience with big data technologies like Hadoop or Spark.
Knowledge of data governance and data security principles.
Experience with data visualization tools like Tableau or Power BI.
Additional Information: The candidate should have a minimum of 4 years of experience in Informatica Intelligent Cloud Services.