Senior data engineer

Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions Experience with one or more data integration tools viz Strong understanding of data security authorization, authentication, encryption, and network security Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance / reliability, and ongoing management & follow-up for action items Bachelor’s degree in computer science or a related field Minimum of 6-8 years of experience in building data driven solutions Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL / ELT Tools Strong scripting experience using Python and SQL Working knowledge of foundational AWS compute, storage, networking and IAM Solid scripting experience in AWS using lambda functions Good to have knowledge of CloudFormation template Overall experience with AWS services should be over three years Hands on experience with popular cloud-based data warehouse platforms, viz Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc Experience with AWS SageMaker family of services or similar tools to develop machine learning models Responsibilities

This includes patterns such as - modern data integration frameworks, building of scalable distributed systems using emerging cloud-based data design patterns This role will be responsible for developing data integration tasks in the data and analytics space This position will report to Sr Director of Data Management & Analytics group under Data Operations organization Demonstrate expert ability in implementing data warehouse solutions using Snowflake Building data integration solutions between transaction systems and analytics platform Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs Create security policies in Snowflake to manage fine grained access control Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting Lead POC efforts to build foundational AI / ML services for Predictive Analytics Building of data products by data enrichment and ML Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures Qualifications

Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions Experience with one or more data integration tools viz Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc Strong understanding of data security authorization, authentication, encryption, and network security Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance / reliability, and ongoing management & follow-up for action items Bachelor’s degree in computer science or a related field Minimum of 6-8 years of experience in building data driven solutions Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL / ELT Tools Strong scripting experience using Python and SQL Working knowledge of foundational AWS compute, storage, networking and IAM Solid scripting experience in AWS using lambda functions Good to have knowledge of CloudFormation template Overall experience with AWS services should be over three years Hands on experience with popular cloud-based data warehouse platforms, viz Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc Experience with AWS SageMaker family of services or similar tools to develop machine learning models Responsibilities

This includes patterns such as - modern data integration frameworks, building of scalable distributed systems using emerging cloud-based data design patterns This role will be responsible for developing data integration tasks in the data and analytics space This position will report to Sr Director of Data Management & Analytics group under Data Operations organization Demonstrate expert ability in implementing data warehouse solutions using Snowflake Building data integration solutions between transaction systems and analytics platform Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs Create security policies in Snowflake to manage fine grained access control Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting Lead POC efforts to build foundational AI / ML services for Predictive Analytics Building of data products by data enrichment and ML Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures Client is seeking a Senior and JR Data / ML Engineer that is responsible for solution engineering of enterprise scale data management best practices.

This includes patterns such as - modern data integration frameworks, building of scalable distributed systems using emerging cloud-based data design patterns...

This role will be responsible for developing data integration tasks in the data and analytics space. This position will report to Sr.

Director of Data Management & Analytics group under Data Operations organization. This is an individual performer role.

Key Job Functions • Demonstrate expert ability in implementing data warehouse solutions using Snowflake. • Building data integration solutions between transaction systems and analytics platform. • Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs. • Create security policies in Snowflake to manage fine grained access control • Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting. • Lead POC efforts to build foundational AI / ML services for Predictive Analytics. • Building of data products by data enrichment and ML. • Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables. • Strong communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management / governance related efforts. • Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions. • Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions. • Experience with one or more data integration tools viz. Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. • Strong understanding of data security authorization, authentication, encryption, and network security. • Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance / reliability, and ongoing management & follow-up for action items. • Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.

Education • Bachelor’s degree in computer science or a related field • Minimum of 6-8 years of experience in building data driven solutions. • Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL / ELT Tools. • Strong scripting experience using Python and SQL • Working knowledge of foundational AWS compute, storage, networking and IAM. • Solid scripting experience in AWS using lambda functions. Good to have knowledge of CloudFormation template. Overall experience with AWS services should be over three years. • Hands on experience with popular cloud-based data warehouse platforms, viz. Redshift, Snowflake. • Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services • Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. • Experience with AWS SageMaker family of services or similar tools to develop machine learning models. • Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus

This is a remote position.

Last updated : 2024-01-31

Company information Allwyn Corporation, headquartered in Washington DC, was founded in 2003 with a mission to help customers solve complex technology problems by bringing tools, technologies, experienced resources, processes, methodologies and project delivery expertise to the table. Our goal is to enable our clients stay competitive in the global marketplace by helping them implement high quality, cost efficient software products and IT applications. Our key differentiators are our approach, attitude and the top notch intellectual capital we deploy that will work as an extended arm of your organization to get the job done.COMPANY CULTURE:- Be respectful of everyone, regardless of their position in the organization.- Be someone that your team members can count on.- Be serious about your commitments to others’ in your organization.- Respect your time and others’ time by being punctual.- Be honest in communicating what you can and cannot do.- When in doubt, ask. Do not assume or fear what perception asking a question may cause.- It is not enough to limit ourselves to delivering a task… try to understand the need and how what you produce isgoing to be used by the customer.- Communicate efficiently and effectively orally and in writing.- Be willing to try things outside your comfort zone and job description.- Be committed to doing what is good for the organization.- Stay curious to learn – always…If you are passionate about creating software product solutions, send us your resume. We are always looking for talented software professionals who care about quality.careers@allwyncorp.com Software, Information Technology, Technology, Consulting, IT Services, Software Development, Telecommunications, Computer Hardware, Electronics Privately Held Company Specialties: Consulting, Software Development, Project Management, Business Intelligence, Web application development, Mobile Application Development, Data Warehousing, and Salesforce

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