... looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing ...
... resolve risk, conduct and compliance matters. Skills And Experience Data Engineering SQL Unix Scripting Devops Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field. 10+ years of experience in data engineering Strong proficiency in Python, Python-spark, shell scripting and SQL, with ...
... Product Owners, Business SMEs, Engineering teams, and other stakeholders to translate business requirements into scalable technical solutions. Google Cloud & Data Engineering Expertise Hands-on experience with Google's data ecosystem, including: BigQuery Dataproc Dataflow Pub/Sub BigTable Cloud Spanner Cloud SQL AlloyDB ...
The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better ...
... and adoption of emerging technologies including GenAI-enabled data engineering solutions. Your Skills & Experience: 8+ years of IT experience, with 5+ years in data engineering, big data, or related technologies. Proven experience leading the design and delivery of enterprise-scale data engineering solutions. Strong hands-on ...
... reporting and product development teams 3 to 6 years of experience in the field of data engineering - Graduate degree or higher with courses in programming, data analytics - Good programming skill in Python/scala or any scripting language - Good knowledge of SQL is a required - Basic knowledge and understanding of big ...
... computation so models can be retrained quickly and reliably. Collaborate with data engineers to implement scalable pipelines on Azure (Data Factory, Data Lake, Databricks) and deploy models via CI/CD processes (e.g. using Azure DevOps or similar tools). Ensure solutions adhere to secure coding practices and data governance ...
About the Role : We are looking for a Big Data Engineer to design, build, and operate large-scale data pipelines and analytical infrastructure that transform high-volume raw data into reliable, query-ready datasets for analytics, reporting, and data-driven https://jobeax.com/link/HouIpt6AtbK1KWOU data platform ingests and ...
Big Data Engineer Contract · Remote Annual Compensation Equivalent: $62,400–$166,400/year Hourly Rate: $30–$80/hour About the Role This contract role is for a Big Data Engineer experienced in designing and maintaining large-scale data infrastructure, pipelines, and processing systems. You’ll apply your engineering expertise ...
Big Data Engineer Contract · Remote Annual Compensation Equivalent: $62,400–$166,400/year Hourly Rate: $30–$80/hour About the Role This contract role is for a Big Data Engineer experienced in designing and maintaining large-scale data infrastructure, pipelines, and processing systems. You’ll apply your engineering expertise ...
... https://jobeax.com/link/2luqtWY4b55DMQvB Skills and Qualifications :- Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.- Advanced proficiency in Python for data processing, automation, and integration.- Deep understanding of relational and NoSQL databases, including ...
... Azure Data Factory, Azure Data Lake, Microsoft Fabric, Logic Apps,Power BI, GitHub, and Data Modeling. Required Skills: - 10+ years of Software Engineering / Data Engineering experience. - Strong SQL Server and T-SQL expertise. - Strong experience working in the Azure environment. - Hands-on experience with Azure Data Factory. ...
... checks Contribute to and help shape company-wide data governance standards Collaborate with analytics, BI, and business teams to deliver trusted, well-modeled data 5–7 years of hands-on data engineering experience - Proven production data engineering experience at scale - Strong Python and SQL skills - Deep analytical warehouse ...
... production issues, work with Databricks to open incident tickets/case and follow up to close the issue and ensure long term fixes - Additional knowledge of other Databricks key features, like Genie, Apps, Models creations etc Required Qualifications: - Bachelor's degree in computer science, Information Technology, Engineering, ...
... Engineer will own the end-to-end operationalisation of machine learning, large language model (LLM), and agentic AI workloads on the Bajaj Finance Enterprise Data Platform — a 5PB+ medallion lakehouse built on Azure Databricks and Unity Catalog. This role sits at the intersection of data engineering, model lifecycle management, ...
Job Summary We are looking for a skilled Data Engineer with a strong background in building scalable, high-performance data pipelines on Google Cloud Platform (GCP) . The ideal candidate will have hands-on experience with BigQuery , Airflow , and cloud-based ETL workflows , along with solid programming expertise in Java ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)
... Senior Data Engineer You will play a pivotal role in driving business outcomes through effective data management and analysis. Enhancing Decision Making with Data Ensuring Data Security and Compliance Future Trends in Data Engineering Design and develop highly reliable and scalable data pipelines and data platforms with ...
... role Ethos is seeking a Data Engineer to join our Data Platform team and build the internal infrastructure, services, and tooling that the rest of the company's data stack runs on. This is a software engineering role with a deep data background. You will design and operate distributed workflow systems on Temporal and Airflow, ...