Senior Data Engineer Aws Redshift Jobs

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.

Modern approaches to Data Process Orchestration and Platform Management including automation, DataOps, and cloud-native development

10+ years of experience as a Software Engineer, Data Engineer, Senior Developer, or Data Scientist

Knowledge of how to use the AWS stack of services to its fullest potential

Experience in multiple data languages like Javascript and Python

Relevant technical experience and interest in working with spatial-temporal data, data analytics, streaming data processing, distributed systems etc.

Senior Data Engineer Mandatory Skills:

Champion the implementation of modern data management methodologies and skills across PressReader’s engineering team

Team management or tech lead experience

Oversee the creation and management of an organization-wide data catalog

Analyze corporate data, design and manage the development of data analytics and other data management solutions

Lead organizational strategy for management of sensitive data

Work closely with the CTO and Product Manager, Data to envision, design, and communicate PressReader’s next-generation data architecture

Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)

Other perks and wellness benefits like discount programs, and gym/studio access.

Tuition assistance and weekly hot skill development opportunities

Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.

Analyzes scope of alternative solutions and makes decision about area implementation based on their experiences and technical expertise.

Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms

Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements

Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts

Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling, ETL - Specially on Data Vault Modelling

Experience in Cloud data warehouse like Azure Synapse, Snowflake analytical warehouse

Experience working with structured and unstructured data

Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies

Facilitate fast and efficient data migrations through a deep understanding of design, mapping, implementation, management, and support of distributed data pipelines.

You have expert programming/scripting knowledge in building and managing ETL pipelines using SQL, Python, and Bash.

Design, document, and lead development of end-to-end data product pipelines

Prepare data mapping, data flow, production support, and pipeline documentation for all projects.

You have productionized real-time data pipelines through EDA leveraging Kafka or a similar service.

You have a strong understanding and exposure to data mesh principles in building modern data-driven products and platforms

Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.

Analyzes scope of alternative solutions and makes decisions about area implementation based on his/her experience and technical expertise.

Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.

5+ years' experience in data preparation, data gateway, and data warehousing projects

3+ years' experience with Apache Superset, Apache Airflow, Spark and understanding on how these technologies work internally

Strong experience in data manipulation with Python

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,

Experience with database management systems, such as SQL and NoSQL databases.

Collaborate closely with internal teams, including the Registry and Data Science teams, to gather requirements and implement system enhancements.

Experience in data engineering, including data integration, processing, and manipulation.

Proven experience in developing and implementing machine learning algorithms and data processing.

Experience with deploying and managing machine learning models in production environments.

Excellent problem-solving skills and ability to work collaboratively with other team members.

Sr. AWS Data Engineer - Remote position

Experience - 5-7 years in development roles

We have a new contract position available.

Please provide your resumes in Word Format.

• 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.

Your educational qualifications could include

Solid experience in Data Warehouses, Data Lakes

Hands on experience with Java

Experience with data modeling tools like ERWIN or others

Experience: 10 – 15 Years.

In this role, you will

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

Leading tools and systems within our Data Management Products team

Both big-picture strategic and in-the-trenches tactical approach to data management

Experience with cloud platforms (Azure preferably), strong knowledge of data modeling, data architecture and data structures

Strong, success-focused team of energetic and experienced digital expert

Skills to assess business requests and provide response and direction quickly

Knowledge to support and mentor cross-function team members

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

Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.

Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.

Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.

3+ years of solid commercial Python and Java coding experience

2+ years' experience in one or more open-source Big Data technologies (Hadoop, Spark/SparkSQL, HiveSQL, Presto, Kafka)

Experience with big data workflow orchestration engines for ETL jobs, such as Airflow

5+ years of experience in software development and data engineering

Proven experience in designing and developing data pipelines and systems in a cloud environment, preferably AWS

Experience with data security, privacy, and compliance measures

Strong analytical and problem-solving skills

Excellent communication and collaboration skills

Knowledge of healthcare/pharmaceutical industry and related data standards and regulations is a plus