Remote Etl Jobs (NOW HIRING)

Amtex Systems Inc is an information technology and talent solutions company offering talent and BI consulting to the companies in US for over 25 years.

Our solutions are designed to fill resource gaps, by providing the right candidates who deliver value to the organization. Our propensity to nurture and build strong relationships with our clients helps us better understand their business demands and gives us the ability to provide services that are on time and rise above the rest.

100% Remote

ETL Architect - SAP BODS Consultant

ETL Developer: This position will report directly to the Senior Manager of ETL Development and Data Architecture on the Business Intelligence (BI) team. The ETL Developer will help the IT BI Team resolve existing capacity issues and design for the future. In this role, you will be responsible for working with a team of analysts, data scientists, and report developers. This role will focus on building 'true' data analytics, data science, and data engineering environment to support the IT organization. You will lead the efforts in building the back end to set the stage for a 'self-service' environment for our end users. You will also be responsible for defining and for extending the enterprise data model for new capabilities and will work with both onshore and offshore resources to achieve our goals.

Job Duties & Responsibilities:

· Responsible for implementing the overall architecture of the EDW (Enterprise Data Warehouse).

· Understanding of the data modeling process, ensuring that the data structures you build support the analytical needs of the organization.

· Build the workflows for the integration of data from various source systems into the EDW. This involves designing and developing ETL (Extract, Transform, Load) processes or ELT (Extract, Load, Transform) processes to move data into the warehouse while ensuring data quality and consistency.

· Optimize the performance of the EDW. This includes tuning queries, designing indexes, partitioning tables, and implementing caching strategies to ensure fast and efficient data retrieval.

· Ensure that data governance policies and security standards are implemented within the EDW.

· Collaborate with business and IT stakeholders across the organization (e.g., business analysts, data scientists, IT managers) to understand their data needs and deliver solutions that meet those requirements.

· Drive continuous improvement initiatives within the data engineering team and the EDW implementation.

· Acts as a subject matter expert on data engineering and analytics.

· Identifies the most impactful use of data to solve complex problems.

· Ensure that documentation related to the EDW implementation (e.g., data dictionaries, ERDs, technical specifications) is maintained and up to date and complies with internal standards and industry regulations.

· Experience designing or developing a reporting semantic layer is a plus.

· Experience with reporting tools such as IBM Cognos, SAP Business Objects, Tableau, or Microsoft Power BI is a plus.

Education and/or Experience:

· 5+ years’ experience in a combination of data engineering, business insights, advanced analytics, data analysis, statistics, strategy, and consulting.

· Bachelor’s degree in computer science, information systems, or data analytics is required.

· Must be an experienced data warehousing professional (5+ years).

· Must have experience building and architecting ETL data flows in at least 2 ETL tools such as SAP Business Objects Data Services (BODS), SQL Server Integration Studio (SSIS), Informatica, Ab Initio, IBM Infosphere DataStage (3+ years) or similar enterprise class ETL Tools.

· Data visualization experience using tools such as Tableau or Microsoft PowerBI is a plus.

· Client service mentality, adaptability, and willingness to collaborate openly with other functions.

· Entrepreneurial mindset with ability to quickly digest, organize, and deliver requests with little oversight.

· Experience with ETL and data warehouse concepts, preferably with an Oracle database or Microsoft SQL Server database.

· Data modeling – understanding in data model design with sensitivity to usage patterns and goals - schema, scalability, immutability, idempotency, etc.

· Strong business acumen, preferably with experience working in a consumer product goods retail environment and / or in a manufacturing environment.

· Experience with multiple software life cycle development methodologies.

· Excellent written and communication skills.