15 jobs found for Data Engineer

Job Title Data Engineer Job Family SummaryAs a Data Engineer, you will join Genus and work within the Data Platform Engineering team alongsidethe Data Platform Product Owner and Senior Data Engineer. In addition, you will be collaborating withthe Data Operations Team and Data Enablement Team, along with Key stakeholders and other membersof the team, such as Data Architects and Analysts, to design and deliver advanced data engineeringsolutions that enable s

Role summaryYou’ll enhance and scale the platform’s data layer: modeling, transformations, performance, and correctness. This role is hands-on and production-oriented.What you’ll doBuild curated datasets and optimize Snowflake performance/costDesign incremental pipelines, backfills, and reconciliation processesImplement monitoring and data validations tied to SLAsCollaborate with API/analytics consumers on stable contracts and documentationImprove operatio

Who we are:Randstad Sourceright’s global talent solutions provides instant access to experienced recruitmentand contingent workforce management support by combining technology, analytics and deepglobal and local expertise. Our operations consist of the client aligned service delivery teamsoperating across RPO, MSP and Blended Workforce Solutions. We are certified as a “great place towork” for the last 3 consecutive years and are recognized as the best plac

Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role pla

Collaborate with Product teams ensuring that raw data is cleansed and transformedand useable by downstream consumers (ML Engineers, BI analytics) Expect level PL-SQL  Assist and advise on the re-development and modernisation of end-to-end ETLpipelines and introduce new technologies where appropriate in a real-time streamingenvironment dealing with very large data volumes Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,OpenSearch,

 Should have a minimum 2+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range ofAWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally andtechnical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, andloa

Gather and process raw data at scale. Defining data retention policies. Work closely with our data science team (ad hoc analysis of the data). Acquire data from primary or secondary sources and maintain databases/systems. Create data sets and tables to store data. Work on data Analysis, modeling and architecture.Make and test database schema changes when needed. Identify user needs to create and administer the data lake. Ingest and move data between databa

Bachelor’s or Master’s in Computer Science, Engineering, or a related field5+ years of total experience in data engineering or similar rolesProven ability to connect technical solutions with business objectivesStrong communication and stakeholder management skillsRequired Technical SkillsCore Stack: Python, SQL, AWS (Glue, S3, Redshift, Lambda), SnowflakeETL Tools: Airflow or similar orchestration frameworksData Modeling & Warehousing: Star/Snowflake schem

We are looking for a skilled Data Engineer whose primary focus will be:Provide engineering (DevOps, Cloud, Data ETL/ELT etc.) support to the project teamWorking with Kafka, Kinesis and event-driven processing- API data ingestion and transformation (REST)- Works with Lambda, Step Functions, SNS/SQS- Assists with Glue Job development & automationPerform GxP validation/qualification activities.experience20

Data Data Engineer About Woodside Energy  We are a global energy company, providing reliable and affordable energy to help people lead better lives. Join our team at Woodside Global Solutions in Bengaluru where talent, digital expertise, and operational excellence converge to solve complex energy challenges, accelerate change, and reimagine business capabilities to support Woodside's global operations and our role in the energy transition. Founded in 1954,

JD-Data Platform & Architecture• Design and evolve cloud-native data lakes / warehouses (e.g., Snowflake, Databricks, BigQuery).• Establish scalable batch & streaming pipelines using Spark/Flink, Kafka, Airflow/Dagster, and dbt.• Implement robust data-quality, catalog, and governance frameworks (e.g., Great Expectations, Unity Catalog).MLOps & Model Lifecycle• Build automated CI/CD pipelines for ML (MLflow, Kubeflow, SageMaker, Vertex AI).• Set up feature

Hiring for MNC   Data Analyst Noida Job Qualifications: Experience Aplenty: 5+ years of hands-on experience in applicable software development environments, showcasing your prowess and ability to excel. Educational Symphony:  A Bachelor's degree is strongly preferred, demonstrating your commitment to continuous learning and growth. Tech Savvy:  Should have demonstrated experience in Cloud environments like AWS, GCP, or Azure. Comparable knowledge of tools

KEY RESPONSIBILITIES...● Build and operationalize cloud-based platform components● Develop production-quality data ingestion pipelines with automated quality checks using GCP andAstronomer● Assess existing systems architecture and recommend technical improvements● Develop Python-based automation to support product development and data analytics● Resolving technical problems as they arise● Research and propose emerging technologies and platform enhancements

Exp: 0- 3 YearsContract - 1 YearLocation: Remote  Key Responsibilities and Required SkillsThe job focuses on the critical task of data annotation and validation, which are essential for training the machine learning models that power autonomous driving systems. The core duties involve:Video and Image Labeling: You'd be responsible for meticulously labeling objects in video footage and images captured by cameras on autonomous vehicles. This includes identif

At least 5 years’ experience as a Senior or Lead Data Engineer Proven and demonstratable experience of Python, AWS, and SQL/ Oracle Bachelor’s honours degree preferably in computer science, or engineering field, or demonstrable technical experience in a related engineering discipline At least 3 years of ETL experience using flat files to transposed Data Models Experience in troubleshooting and debugging Python, SQL (Oracle & other SQL platforms), SNS,