Data Engineer Solutions Jobs

I have experience in role delivering and supporting software and data engineering capabilities.

Extends DevOps capabilities for deploying data solutions

I have strong SQL development and analytical skills

I have automated code testing experience

I have experience with cloud services within Azure- AWS- or GCP platforms

I have experience building APIs (experience with GraphQL is a plus)

Demonstrable technical prowess, encompassing areas like large format LED solutions, video transport and playback systems, content management, and mechanical mounting solutions.

Possession of industry-recognized certifications such as Avixa CTS/CTS-D is considered an asset.

A minimum of 3 years' experience in design, operations, and/or field installation within the industry.

Crafting technical solution designs and architecture that align with desired objectives.

Compiling comprehensive bills of materials to accompany design solutions when required.

Assisting the sales team with the technical aspects of proposals, pricing models, SOW’s, and RFP responses.

Assist to elevate the knowledge and capabilities of Storyblok partners

Monthly remote work stipend (home internet costs, electricity). Home office equipment package right at the start (laptop, keyboard, monitor…)

Sick leave benefit, parental leave and 25 days of annual leave plus your local national holidays

As a fully remote company, with work-life balance at its core, you'll enjoy flexible schedules

Develop and create personalized, technical demos and education efforts for enterprise clients

Experience in working with monolithic/traditional CMS (Wordpress, Drupal, Sitecore, Adobe AEM, …)

Data engineering experience; expert level experience with SQL

• Experience with the cloud (AWS, Azure and/or Google Cloud Platform)

• Experience in cloud-based data warehouses (Snowflake, Google BigQuery, Amazon Redshift, Azure Synapse Analytics)

• Experience with cloud-based ETL/ELT tools (Matillion, Glue, Data Factory) and data modelling

• Experience with version control systems (Git, SVN)

Role : Data Engineer – Oracle+DataStage

Understanding of programming languages, databases, platforms, frameworks, design techniques and tools, code management tooling, and/or web technologies.

Experience with data transformation, engineering, cleaning, and mining

Experience with application of modern data science techniques

Excellent interpersonal and highly developed communication skills (verbal and written).

Excellent teamwork and collaboration skills.

Experience with machine learning algorithms, computational mathematics, bioinformatics or artificial intelligence.

Advanced knowledge and skills in SQL, SSIS, and SSMS. Minimum 5 Years of Hands-on Experience in SSIS and SSMS

Strong verbal and written communications skills with experience in relating complex concepts to non-technical users.

Bachelor’s degree in Computer Science or similar field or equivalent work experience.

5+ years of experience with hybrid data environments that leverage both distributed and relational database technologies to support analytics services.

Hands-on experience with the development of ELT/ETL processes in traditional and distributed environments

Experience as designer of complex Dimensional data models for analytics services.

Strong knowledge and understanding of the Canadian Cannabis Industry, including regulatory requirements, market dynamics, and key performance indicators.

Work closely with the team to identify opportunities for process improvement, automation, and enhancement of data analysis capabilities.

2 – 5 years experience in big data modeling and analytics

Proven experience as a Data Analyst or similar role, with a focus on Excel and Power BI dashboard development and maintenance.

Experience working with large datasets and applying data cleansing, transformation, and validation techniques.

Strong analytical and problem-solving skills, with the ability to extract insights from complex data sets.

Qualifications, Skills, And Educational Requirements

Comfortable presenting analyses within the team and with management

2-4 years of relevant work experience

Experience in the automotive industry and/or aftermarket parts is an asset, but relevant analytical experience in any industry is paramount.

Experience as a Solution Engineer within 3PL industry is an asset,

Strong written and verbal communication skills

Bachelor’s degree in computer science, OR an equivalent combination of education and/or experience

Minimum 1 day a week at the Montreal Office (Mondays) – subject to change at manager’s discretion

Strong analytical and organisational skills, with a passion for problem solving and uncovering and reconciling details.

Strong knowledge of data integration concepts

Experience in any of the following areas is a plus:

Knowledge of Big data ingestion

Knowledge and experience with databases, SQL or PostgreSQL

In-depth understanding of database management systems and ETL (Extract, Transform, Load)

BSc/BA in Computer Science, Engineering, or relevant field and or relevant knowledge with experience

Excellent organizational, strong written and verbal communication skills

2+ years experience as a Data Engineer

2+ years experience with Python

Broad knowledge and experience across compute, storage, networking, data protection.

Knowledge and working experience with:

Desired Skill Sets (as many as possible)

Experience with Lenovo x86 systems with focus on Enterprise and HPC systems

Experience with NVIDIA GPU, Software and Cloud based products.

System design and implementation – NetApp and/or IBM storage experience preferred

Collaborate remotely with data scientists and engineers to understand data requirements.

Gain hands-on remote experience in the dynamic world of data engineering.

🌟 Exciting Data Engineer Internship Opportunity (Remote) at Dlytica Inc.! 🌟

Develop, monitor, and enhance remote data pipelines for data ingestion and transformation.

Work in tandem with experienced professionals to ensure data processes are performant and scalable.

Strong problem-solving skills and a collaborative mindset.

Assists management in developing RFP, RFQ, and handling departmental purchasing process.

Successful completion of a University Degree in Computer Science, Computer Engineering, Information Technology, or approved equivalent combination of education and experience.

Demonstrated knowledge and experience of software solutions development lifecycles/methodologies i.e. agile or other rapid application development methods.

Translates complex functional and technical requirements into detailed architecture, designs logical data models, physical databases, and high performing software solutions.

Minimum five (5) years demonstrated experience as a technology solutions architect/developer/ specialist or similar position/capacity.

Demonstrated experience in writing complex, highly-optimized SQL queries across large datasets. 

Experience with data pipeline and workflow management tools such as Airflow

2+ years of experience as a Data Engineer

Experience with cloud platforms: GCP, Amazon or Azure (GCP gives you an edge!)

Experience with Python and software engineering best practices

Knowledge in Dataflow, Spark and Kafka, as well as other data pipeline components

Experience with Github and CICD processes

Experience with the following tools/languages for data management and manipulation: Informatica, MapReduce, Rest APIs, Attunity Qlik-Replicate, Scala

Bachelors Degree in Computer Science, Information Systems, or Computer Engineering and related AWS/Azure certifications.

Strong communication and interpersonal skills, proven ability to work with both technical & non-technical stakeholders

Experience leading data projects from problem identification to production.

Experience supporting ML and AI experiments, business intelligence, data science models and reporting.

Experience with Salesforce, Guidewire and insurance industry preferred

• Bachelor’s or Master’s Degree in Business Intelligence, Machine Learning, Business Management,

• Experience in Power BI

• Have 5+ years of experience in data engineering or data infrastructure roles

• Experience in Rest API

• Possess expert Python skills (PySpark, Pandas, Scikit Learn, Numpy, Boto3, Glue + Spark Context)

• Experience with data pipeline technologies, data modelling (Star schemas, Snowflake, and

Proven experience in a similar role, preferably within an MSP/Managed IT environment.

Strong problem-solving skills and the ability to analyze client requirements and propose appropriate solutions.

Professional certifications such as CompTIA Security+, Cisco CCNA, or similar qualifications are highly desirable.

Excellent presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

Self-motivated and able to work independently in a remote environment while collaborating effectively with remote teams.

Managed IT and Managed Cybersecurity

3+ years of experience in a data analysis role

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information

Knowledge of statistical analysis tools such as R, SAS, or SPSS

Experience with data visualization tools such as Tableau or Power BI

Excellent communication and presentation skills

Ability to work independently and collaboratively in a remote team environment

Supporting the data warehouse in identifying and revising reporting requirements.

Work experience as a data analyst or in a related field.

Ability to translate business requirements into non-technical, lay terms.

High-level experience in methodologies and processes for managing large-scale databases.

Managing master data, including creation, updates, and deletion.

Managing users and user roles.

Understanding and experience with IT and Business Management tools such as ticketing systems, RMM tools, PSA, workflow automation, and documentation management

Good organizational and time management skills

Maintain knowledge of competitive products to ensure the capability to address and dispel partner objections to Kaseya solutions

Excellent communication and presentation skills

Please note this position is onsite in Bangalore and not eligible for remote/hybrid work*

Full Medical, Dental and Vision health benefits (Employee premiums paid 100% by company)