What are the responsibilities and job description for the AWS Data Engineer position at Tekgence Private Ltd?
DESIRED SKILLS AND EXPERIENCE :
Over all 14 Years and 8 years 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.
Mandatory Skills
- 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
Interpersonal Skills
