... AI-assisted tools to accelerate development — generating boilerplate code, drafting SQL/dbt models, writing documentation, debugging pipeline failures, and summarising data quality issues Partner with data quality, governance, and analytics teams to ensure data is well-modelled, well-documented, and trustworthy Optimise Snowflake ...
Job Title: Data Engineer - ML Training Data Pipeline Notice period: 0-30 Days Experience : 5+ Years Location: Hyderabad OR Pune We are looking for Data Engineer - ML Training Data Pipeline who can Build and maintain the data pipeline that transforms raw production traces into high-quality training datasets for LLM fine-tuning-ingestion, ...
... Developer with strong hands-on experience in building modern data platforms. The ideal candidate will play a key role in designing and implementing scalable data solutions using Fabric and Azure data https://jobeax.com/link/v8qrFLRTZgSSorDg Responsibilities :Data Engineering & Development :- Design and build data solutions ...
... and results-driven Data Engineer to join our growing Data Engineering team. You will be instrumental in ingesting, transforming, and delivering high-quality data to enable data-driven decision-making for our clients. This role is ideal for someone who thrives in a consulting environment, enjoys solving complex data challenges, ...
... events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. ...
... Cloud technologies such as Data flow, Data Fusion, Pub/Sub, Dataform, dbt, Bigquery, Cloud SQL ● Advanced SQL skills required. Solid understanding of relational databases and business data; ability to write complex SQL queries against a variety of data sources. ● 4+ years’ experience with Data Modeling, ETL, and Data Warehousing. ...
... Python for data manipulation, ETL pipeline building, and debugging. - ETL with IDMC: Practical experience building and monitoring mapping tasks, taskflows, and data integration pipelines within the Informatica Intelligent Data Management Cloud (IDMC) platform. - Databricks Developer: Hands-on experience developing within ...
... model accuracy, scalability, and reliability. - Work with large and complex datasets to identify meaningful patterns, trends, and insights. - Collaborate with data engineering teams to establish effective data pipelines and ensure high-quality data availability for modeling. - Partner with product and business stakeholders ...
... OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions - **Database Knowledge**: PostgreSQL optimization for telemetry data - **Data Visualization**: Statistical analysis, correlation detection, anomaly identification through visual patterns - **Programming**: Python/Go for data pipeline ...
... members of IT, including business analysts, database administrators, and managers, to design and develop Cognos reporting capability- Exhibit a commitment to data quality by validating results against sources specified in the requirements- Develop and maintain stored procedures- Write and support queries against databases ...
... Ultimately, this will help reduce the cost and risk of operations for the industry. What will you be getting into? Be part of a team of Product Managers, Software Developers, Leads, and Engineers building and operating a cutting-edge analytics and decision management platform for the renewable energy industry. As a Data Infrastructure ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... building ETL/ELT pipelines that transform and process large volumes of structured and unstructured data.- Solid understanding of data warehousing concepts and data modelling techniques (e.g. dimensional modelling, slowly changing dimensions).- Hands-on experience with BigQuery, Airflow or Argo Workflows, Dataflow, and Pub/Sub ...
... prescriptive/predictive analytics) to support current testing routines that seek to measure compliance to the various laws, regulations, and guidelines. Design, build, and execute data quality controls that ensure completeness and accuracy on risk datasets and reports. - Build and maintain strong stakeholder engagement: Establish and maintain ...
Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...
... technical analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership experience : Proven experience leading teams of analysts and managing analytical deliverables- People management ...
... Measurement Team that specializes in the ingestion, transformation, and storage of large-scale social and broadcast data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, ...
... workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, ...
... Strong understanding of data and cloud concepts and experience supporting data platform initiatives.- Hands-on experience defining requirements for Azure-based data platforms.- Good understanding of Azure Data Lake Storage (ADLS), Databricks, SQL, data pipelines, data ingestion, and data warehouse/lake/lakehouse concepts.- ...