engineering background Exposure to building or deploying AI/ML models into a production environment Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯
optimizing data delivery, re-designing infrastructure for greater scalability and performance. Essential Skills and Experience: Hands-on experience with AWS services, including Lambda, Glue, Athena, RDS, and S3. Strong SQL skills for data transformation, cleaning, and loading. Strong coding experience with Python and Pandas. Experience of data pipeline and More ❯
easy and safe for teams to use and contribute to data systems. You’ll work with services like Lambda, S3, LakeFormation, Glue, Step Functions, Athena, EventBridge, SNS, SQS, and DynamoDB, and will be expected to navigate and manage data systems with a high degree of rigour and compliance. Familiarity More ❯
to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools More ❯
AWS best Practises. Establish Cloud Governance policies and procedures. Work closely with Data Team on required platform integrations using data analytics tools like Redshift, Athena and Glue. Work closely with Technical Architects on Low Level designs and implementations in line with the companies policies. Work closely with the applications More ❯
design reports and dashboards in Tableau Update existing dashboards as part of Data Warehouse migration Data cleansing, preparation and modelling using DBT or AWS Athena Requirement gathering and translating to business needs Cloud Infrastructure knowledge will be a big advantage for this role. Experience of managing IT Assets would More ❯
working with complex datasets and building data pipelines. Experience working in cloud-based environments, with exposure to tools such as AWS Redshift, Glue, S3, Athena, or Google BigQuery. Hands-on experience managing data versioning, metadata, and documentation for large-scale projects. A track record of collaborating with cross-functional More ❯
deliver scalable AWS data solutions while mentoring junior engineers. Key Responsibilities: Lead the development and implementation of AWS data components, including Firehose, Glue, Lambda, Athena, Redshift, and Quicksight. Support junior engineers through technical guidance, mentoring, and task leadership. Collaborate with cloud architects to evolve our MVP data platform toward More ❯
digital performance optimisation Familiarity with BI tools (e.g. Looker, Tableau) for storytelling and dashboard creation Understanding of cloud-based data platforms (e.g. AWS, Redshift, Athena) or similar A proactive, ownership-driven attitude with a passion for data quality assurance Background in adtech, telecoms, retail, or digital services is a More ❯
/EKS experience. Implementing pipeline security controls, such as SAST, vulnerability scanning, and code linting. Monitoring and securing infrastructure using AWS services like CloudWatch, Athena, Config, and CloudTrail. Why join us - This is an opportunity to use your technical capabilities to support one of the most important challenges of More ❯
a significant advantage. Solid proficiency in SQL for data querying, transformation, and optimisation. Hands-on experience with AWS services such as Redshift, S3, and Athena is highly desirable. Proven ability to work autonomously, take ownership of projects, and proactively identify solutions. Strong analytical and problem-solving skills, with the More ❯
SnapLogic for streamlined pipeline development. Strong experience working with cloud-based data services, especially within AWS environments, utilizing tools like Lambda, S3, Redshift, Glue, Athena and Secrets Manager. Skilled in building modern data warehouses on platforms like Amazon Redshift, Snowflake, or Databricks. If you are interested in this More ❯
robust data pipelines using AWS native services (Glue, Lambda, Step Functions, S3, etc.) Develop and optimize data lake and data warehouse solutions using Redshift, Athena, and related technologies Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Ensure data quality, governance, and compliance with financial regulations … in cloud-native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of More ❯
onshore and offshore Data Engineers, driving technical growth and ensuring effective collaboration. Design, develop, and optimise scalable data pipelines and infrastructure using AWS (Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation). Utilise PySpark for distributed data processing, ETL, SQL querying, and real-time data streaming. Establish and enforce … mentoring and team management. 7+ years of hands-on experience in data engineering and ETL architecture. Deep expertise in AWS Data Services, including Glue, Athena, Redshift, Kinesis, Step Functions, Lake Formation and data lake design. Strong programming skills in Python and PySpark for data processing and automation. Extensive SQL More ❯
and deploy ML models (including Hugging Face Transformers) as microservices on AWS. Build, train, and evaluate models using AWS tools like SageMaker, Bedrock, Glue, Athena, and Redshift. Develop secure APIs with Apigee and build automation pipelines using Jenkins, Maven, and more. Support the full ML lifecycle including monitoring, governance … a dynamic environment Tech Stack Languages & Frameworks: Python, R, SQL, Flask, FastAPI Tools: Hugging Face, Apigee, Jenkins, Git, RStudio, Jupyter Cloud: AWS (SageMaker, Glue, Athena, Redshift, Bedrock, ECS Fargate, Lambda) Please apply online for consideration. More ❯
Excellent opportunity for AWS DevOps Engineer to be part of our Cloud Infrastructure & Security services practice. Cognizant Infrastructure Services – Provides IT infrastructure & Cloud services for clients across industry verticals, including both Consulting/Professional and Managed Services, across Enterprise Computing More ❯
culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture diagrams, test … consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery role (preferred More ❯
and build integrations with APIs to automate workflows and enhance data processing. Investigate and resolve technical challenges across SQL, Oracle PL/SQL, AWS Athena, Redshift, and other cloud infrastructure to ensure data integrity and system efficiency. Guide engineers and analysts by defining clear priorities, streamlining sprint planning, and … streamline workflows using scripting, scheduled jobs, and smart automation. Data Expertise Experience querying, transforming, and analysing large datasets across multiple databases (Oracle, Redshift, AWS Athena). Strong ability to investigate data inconsistencies, optimize queries, and build efficient data processing workflows. Experience with ETL/ELT processes, integrating external data More ❯
DOING? As a key member of our analytics team, you will be responsible for developing, enhancing, and maintaining interactive data visualisations and dashboards using Amazon QuickSight. You’ll define and implement key business metrics aligned with strategic goals, and work closely with clients to gather requirements, refine project scopes … experience with BI tools (ideally AWS QuickSight) Proficient in SQL for data querying, transformation, and optimisation Hands-on experience with AWS services (Redshift, S3, Athena preferred) Self-motivated with the ability to own projects and solve problems independently Strong analytical skills with the ability to turn business needs into … submit (submit to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: AWS QUICKSIGHT, SQL, AWS REDSHIFT, S3, ATHENA, ETL More ❯
