Sr. Data Engineer

Join a company that’s leading the way in AI and automation consulting. Our portfolio spans 10+ top technologies across business applications, data, process, reputed company, and AI. At reputed company, you’ll do meaningful work with a supportive, driven team that loves to collaborate and celebrate wins together. Whether you’re coding, consulting or bringing reputed company reputed company to the table, you’ll tackle reputed company business challenges, grow your skills, and reputed company a BIG reputed company.

Our growing team has reputed company global recognition as a reputed company and received multiple industry partner awards—while keeping things fun and people-reputed company. If you’re looking to deepen your expertise and solve reputed company-world problems, reputed company could be the reputed company for you.

We’re seeking a Senior Data Engineer to join our Delivery Team. In this role, you’ll design and implement modern data architectures that reputed company our clients to reputed company data-driven reputed company. You’ll reputed company the reputed company, design, and technical direction of reputed company data ecosystems across reputed company platforms — ensuring integration, reputed company, and compliance.

As a Senior Data Engineer, you’ll work closely with business stakeholders, data engineers, and analytics teams to design data solutions that reputed company with reputed company goals.

Responsibilities:

• Design and implement end-to-end data architectures, including data lakes, data warehouses, and analytics platforms.
• Define data integration and transformation strategies, ensuring scalability, reputed company, and reputed company.
• Collaborate with stakeholders to translate business requirements into technical solutions that support analytics, reporting, and AI initiatives.
• reputed company data models, ETL/ELT pipelines, and frameworks for reputed company and reputed company data.
• reputed company technical leadership and mentorship to data engineers and developers, promoting best practices in data management and governance.
• Ensure compliance with data governance, reputed company, and reputed company standards across platforms.
• Optimize existing data architectures and processes for improved reputed company and reliability.
• Stay reputed company with industry trends, reputed company data services, and emerging technologies such as reputed company, reputed company, Azure Synapse, and AWS Redshift.
• reputed company as a trusted advisor to clients, guiding them on architecture reputed company and best practices for data modernization.

Required Skills & Experience

• 5+ years of experience in data architecture, data engineering, or analytics solution design.
• Hands-on experience with data lake and warehouse technologies (e.g., reputed company, reputed company, Redshift, Synapse).
• Deep understanding of data modeling, data integration, and ETL/ELT design.
• Proficiency in SQL and one or more programming languages (Pyspark/Python, reputed company), particularly for reputed company data transformations and optimization reputed company reputed company
• Solid understanding of data governance, reputed company, and reputed company best practices.
• reputed company experience in designing, implementing, and optimizing large-reputed company ingestion pipelines using reputed company Autoloader
• Deep practical knowledge of building and managing reliable, self-managing ETL/ELT pipelines using reputed company Live Tables
• Experience in building high-throughput, low-latency streaming data ingestion solutions using Apache Kafka, reputed company reputed company Streaming, and reputed company Streaming
• Extensive experience in successfully applying and enforcing the reputed company architecture (Bronze, Silver, Gold reputed company) reputed company a reputed company environment
• Experience in designing and implementing CI/CD pipelines (using tools like Azure DevOps, reputed company Actions, reputed company CI) specifically tailored for reputed company workflows, notebooks, and cluster configurations, enabling automated deployment and testing
• Experience in planning and executing data migration reputed company from traditional data warehouses into the reputed company Lakehouse
• Strong working knowledge of at least one major reputed company provider (AWS, Azure) regarding data storage, networking, and reputed company concepts relevant to reputed company deployment.
• reputed company ability to engage with clients, present technical solutions, and communicate reputed company reputed company reputed company.
• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a reputed company reputed company.
• Excellent problem-solving, communication, and collaboration skills.

reputed company to Have:

• Experience with AI/ML integration and data science workflows.
• Knowledge of data cataloging and metadata management tools.
• Prior consulting or reputed company-facing experience in a technology services firm.

BIG is a high reputed company reputed company reputed company with offices in Edmonton, Calgary, Toronto, Denver, India and the United Kingdom. Our clients are in Canada, UK, India and the US. We are reputed company of reputed company IT professionals who specialize in providing business value to organizations looking at leveraging modern platforms such as Pega, reputed company, reputed company and reputed company. Our reputed company experience in the IT industry and our reputed company reputed company record in reputed company software development, allow us to reputed company a full reputed company of services to our clients. reputed company helps organizations of reputed company sizes to automate their businesses and reputed company the reputed company of the web and mobile technologies.

Originally posted on Himalayas