Aws Data Consultant Jobs

Present learnings to customer-facing teams in order to enhance their product knowledge, customer perspective management skills, and target audience awareness

Exceptional time management skills and managing competing priorities and deadlines

Proven success in customer management and supporting enterprise sales cycles

Experience working in a fast-paced environment with remote team members

Education or experience in infrastructure industries is a plus

Skillfully prioritize effort based on revenue attainment or as directed by Sales Leadership

Experience in AWS Production Application Support along with UNIX knowledge. Java understanding for troubleshooting and debugging, but not coding, AWS.

Experience in different cloud environments Azure GCP and AWS. Basic Knowledge on W eb server, Windows, and AIX server.

Decent experience or knowledge in WAS. Handle the bridge calls.

Works closely with On shore Service Management teams to ensure timelines are being met.

Excellent communication and interpersonal skills.

Person should be really willing to take up challenging tasks and interact with the customers.

Experience in AWS Production Application Support along with UNIX knowledge. Java understanding for troubleshooting and debugging, but not coding, AWS.

Experience in different cloud environments Azure GCP and AWS. Basic Knowledge on Web server, Windows, and AIX server.

Decent experience or knowledge in WAS. Handle the bridge calls.

Works closely with On shore Service Management teams to ensure timelines are being met.

Excellent communication and interpersonal skills.

Person should be really willing to take up challenging tasks and interact with the customers.

A minimum of 5 + years’ experience in progressive data engineering roles.

5+ years’ experience in Python for data and analytics.

Knowledge of best practices in enterprise-wide database implementation, availability, and security configuration

Expert knowledge in SQL, ETL architecture, data architecture and BI architecture.

Plan, coordinate, develop and support data model development, including architecting table structure, building ETL process, documentation, and long-term preparedness.

Provide production support for existing data pipelines.

• Big Data/analytics/information analysis/database management in the cloud IoT/event-driven/microservices in the cloud

• Minimum of 5 years of Consulting or client service delivery experience on Amazon AWS (AWS)

• Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery

• Experience with private and public cloud architectures, pros/cons, and migration considerations.

Senior AWS Consultant for a remote contract role

The ideal candidate will have a strong development background, with specific experience in AWS and .Net programming

This role requires a high level of IT experience and the ability to work closely with development teams

10+ years of IT experience

3 years of AWS experience

AWS Consultant – Mandatory Skills

Excellent record-keeping and reporting skills coupled with Project and program management planning and organizational skills

great organizational and time management skills; strong troubleshooting skills to enable successful

Demonstrated experience and knowledge in the following areas:

Windows Server Administration and Role Management

with very strong technical skills and experience. An understanding of the inner workings of a variety of

document management deployments is a must.

Produce scalable, maintainable code and engineering solutions that help automate repetitive data management tasks.

Maintain and build on our data warehouse and analytics environment,

Build reports and data visualizations, using data from the data warehouse and other sources.

Perform data manipulation / transformation on a wide variety of insurance and organization data.

Implement and monitor best in class security measures in our data warehouse and analytics environment,

You know that details matter. You notice things that others don't. Your critical thinking skills help to inform your decision making.

Focus on Innovation and Simplification. Strive for continual enhancement of data quality and contribute to system and governance process simplification.

You have a degree/diploma in: Computer Science, Mathematics, Engineering and/or a related field of study.

You embrace and champion change. You’ll continuously evolve your thinking and the way you work in order to deliver your best.

Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

What You Need To Know

• Have some experience or knowledge of working with RPA tools

• Communicate with stakeholders, understand requirements, design, test.

• Experience building end-to-end systems as a Data Engineer

• Good knowledge of Pyspark and/or Glue

• Strong DB skills in SQL

• Experience working in ETL programming.

PhD in Computational Linguistics, Linguistics with a computational component, or an equivalent field; alternatively, MA with 3+ years of experience

Excellent knowledge of phonetics, phonology, conversation analysis, and/or discourse analysis

Practical knowledge of speech processing techniques and tools for segmenting, labelling, and analyzing speech

Experience owning and executing data collection projects, including guidelines, labelset and annotation workflow development

Experience developing and evaluating data annotation and data quality metrics

Experience with synthetic dataset creation

Work with data analytics SMEs to understand data requirements.

Assemble large, complex data sets that meet functional / non-functional business requirements

4+ years experience as a data engineer with expertise in AWS Glue, spark and Redshift/

Experience working on data pipelines, ingestion and data lakes

Location: Likely remote with potential Hybrid in Toronto office every couple of weeks

Create and maintain data pipeline architecture

Minimum years of experience 9-10years

FlexPLM, AWS (EC2, S3, SNS, SQS, Lambda), microservices, Jenkins, Splunk

Should be able to play a consultant role and should be able to work with multiple teams

Lead a team of application engineers using agile development methodology to deliver complex business systems.

Collaborate with architects and distributed agile feature teams to implement innovative

Work closely with developers, product managers, and other stakeholders to understand data requirements and translate them into technical specifications

Continuously research and recommend new technologies and best practices for data engineering, cloud computing, and database management

Document data engineering processes, workflows, and architectural decisions to maintain knowledge sharing within the team

2+ years of experience as a data engineer or in a similar role

Hands-on experience with AWS services such as Glue, S3, and SageMaker

Strong knowledge of Oracle databases (PL/SQL), including performance tuning, query optimization, and database administration

Track progress, resolve dependencies, evaluate risks and communicate status to management and business stakeholde The Position

Experience working in a self-managed team environment, familiarity with OKRs is a plus

Manage the successful implementation and delivery of solution releases, possibly spanning multiple parallel tracks

Partner closely with Global Product Owners, developers and Portfolio Managers and boost cross-regional collaboration and leverage existing solutions

Degree in Computer Science, Engineering, Statistics, or technical field or equivalent experience in the area of Automation

2+ year of experience developing solutions in at least 1 of the following technologies/platforms:

• Good security practices and experience writing code that manages customer data.

AWS - general (IAM, role and policies, Secret Manager, KMS)

• Mentor and build skills across the team through effective standards setting, code reviews, and pairing.

• Demonstrated technical leadership skills with ability to conduct code reviews and architect solutions.

• 5+ years of experience developing complex enterprise applications

• Extensive experience in AWS, GCP or Azure

·Experience with data pipeline and workflow management tools e.g. Airflow, Jenkins etc.

Experience: 7 to 12 years

7-12 years of developing data solutions Refer below Table for tech stack and key responsibilities.

Hands on experience in relational databases (PL/SQL, Postgres) etc.

Experience with Version Control (e.g. git, github)

Align architecture with business requirement.

• In depth understanding and experience on building data pipelines using Python (preferred) /Scala (nice to have)**

• Experience with AirFlow for Job Orchestration

• Experience with Spark job tuning, cluster tuning

• Manage deployed data pipelines on AWS and enhance as and when required

• Experience in in building data pipeline Informatica or Talend

• AWS Solution architect certification

Architect and design the data flow for different source data into an AWS Data lake.

Involved in writing Hadoop Streaming- a Python program, Pig, for processing the data.

Worked on converting existing Hadoop Streaming into Pyspark code.

Data Modeling in HBase and Hive.

Designed the ETL strategy and AWS services to use.

Enabling S3 cross-account access with security, REST API, and Streaming using Kinesis and JDBC connection to bring data from different sources.