Senior Data Engineer - (8-12 yrs)

Job Role : Data Engineer.

Job Type : Contract.

Experience : 8 Years.

Location : Remote.

Job Description :

- 8 years' experience on Big data technology, Data warehousing, Data modeling and schema design, Real-Time Processing, Data visualization skills, step function, Amazon S3, AWS Redshift & Amazon Glue, Lamda, python, SQL and circleCi.

- Experience with enterprise data management technologies, including database platforms, ETL tools (Informatica), (PowerBI) and Big Data.

- Experience with data modeling for OLPT, Data Lake, Data Warehousing and Big data environments.

- Experience in Amazon S3, AWS Redshift & Amazon Glue.

- Experience with Cloud and Microservices based Architecture (SOA), enterprise data management, information security, applications development, and cloud-based architectures with federal clients.

- Experience working as a member of distributed data architecture teams.

- Experienced in Determining database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems.

- Experience in Developing database solutions by designing proposed system, defining database physical structure and functional capabilities, security, back-up, and recovery specifications.

- Installs database systems by developing flowcharts; applying optimum access techniques; coordinating installation actions; documents actions.

- Experience in maintaining database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.

- Experience in Coding utilities, database support, responding to user questions, and resolving problems.

- Accomplishes information systems and organization mission by completing related results as needed.

- Supervising and guiding the entire Data architectural implements.

- Strong Data modeling skills to Design conceptual and logical data models and flowcharts.

- Experience in Erwin or equivalent Data modeling tool.

- Strong with Governance, Architecture processes, best practices and structure.

- Strong in analytical skill and define architecture best suited for the organization (using companies approved stack and tools).

- Understanding of information systems and data life-cycle management best practices and methodologies, formal systems engineering life cycle (SELC), and systems development life cycle (SDLC).

- Strong with Project Management and project planning kills.

- Good knowledge of SDLC for projects using DW concepts and Client/Server technologies.

- Well versed with Backup Procedure, Data security and GDPR.