Azure Data Technical Specialist

Teknik, data och digitalt · Data, AI och analys · Data engineering

I korthet

As a Senior Data Engineer in the Data Foundation team, you will act as a technical expert for configuring, developing, and integrating products and platforms based on our tech stack. You will collaborate with Product Owners and Architects, translate business requirements into technical specifications, and ensure high-quality code delivery using agile methodologies. The role involves mentoring other Data Engineers, overseeing operational excellence, and driving the selection of development approaches.

Ansvarsområden

Coach and mentor individual Data Engineers in designing, developing, and delivering scalable, reliable, and high performing big data solutions.
Coach and mentor the design, development, and maintenance of scalable data pipelines and ETL processes.
Monitor and optimize data infrastructure performance, identifying and resolving bottlenecks and issues.
Coach and mentor the team from a technical standpoint, and drive operational excellence, including code reviews, design reviews, testing, and deployment processes.
Be an individual contributor (~60%) engineering the software products/solutions, jointly with the team.
Ensure that the team adheres to coding standards, best practices, and architectural guidelines, oversee team spirit and team performance, guide and mentor team members.
Oversee the implementation of the technical architecture, solve immediate technical challenges.
Ensure that the execution of DevSecOps is in place in the team's daily work.
Inspire, advise, and drive the selection of development approach.
Coordinate software development and address technical debt in the team.
Support onboarding, mentor, and develop top engineering talents, fostering a culture of learning, collaboration, and continuous improvement.
Take Lead when needed in technical discussions with other teams/departments and oversees state-of-art quality of the stack.
May be involved in cross-functional discussions, representing the domain in broader technical discussions across domains.
Responsible for designing and improving processes that enhance efficiency and quality.
Communication with Engineering Manager, Product Owner and Scrum Master to align on project / sprint goals, timeline and resource allocation.

Krav

Proficiency in programming languages such as Python, SQL, and experience with big data technologies like Massive Parallel Processing (MPP) and streaming.
Experience with cloud platforms (e.g., AWS, Azure, GCP) and compute/data storage solutions (e.g., Databricks, BigQuery, Snowflake).
Experience with CI/CD processes and tools, including Azure DevOps, Jenkins, and Git, to ensure smooth and efficient deployment of data solutions.
Familiarity with APIs to push and pull data from data systems and Platforms.
Familiarity with understanding software architecture High level Design document and translating them to developmental tasks.
Expert in Pyspark.
Familiarity with Microsoft data stack such as Azure Data Factory, Azure Synapse, Databricks and Fabric / PowerBI.
Apache Kafka or similar.
Data Modelling & Architecture.
ETL pipeline design.
8+ years of experience in Data Engineering, with a strong understanding of data integration, ETL processes, and data warehousing.
Hands-on experience and in-depth knowledge of the technologies listed as mandatory.
Strong understanding and implementation of software development principles, coding standards, and modern architecture.
Familiarity with data governance and compliance standards.
Hands-on experience in implementing and managing End-to-End DataOps / Data Engineering projects in a team.
Proven ability to lead software development teams of engineers with varying experience and adapt to team sizes from small to large.
Experience in working in diverse projects with varying technologies, products, and systems.
Strong problem-solving skills and ability to make critical technical decisions.
Ability to guide / mentor other team members.
Effective communication and interpersonal skills, with the ability to collaborate with technical and non-technical stakeholders.
Proven ability to demonstrate that can work independently and a self-starter.
Pragmatic, and collaborative team player.
Excellent written and verbal English.

Önskade kvalifikationer

Experience with machine learning and AI technologies.
Logging and Monitoring using Azure / Databricks services.

Förmåner

Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.

Färdigheter

PythonSQLAzure Data FactoryAzure SynapseDatabricksAzure DevOpsJenkinsGitAPIPysparkApache KafkaData ModellingETLPowerBICloudAWSGCPBigQuerySnowflakeFabric

#Data Engineering#Big Data#ETL#Cloud#Azure#Databricks#Data Pipelines

Om HCLTech

Supercharging progress through technology and innovation

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered around digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2022 totaled $12.1 billion. To learn how we can supercharge progress for…

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