5,153 data process executive jobs in India.

• Full-time

... including data ingestion, transformation, processing, orchestration, storage, and delivery. The ideal candidate will have strong hands-on experience with AWS data services and distributed data processing, along with a solid understanding of data modelling, streaming architectures, data quality, and pipeline optimisation. ...

... data ingestion pipelines leveraging Databricks, Airflow, Kafka, and Terraform. Ensure high performance, reliability, and efficiency by optimizing large-scale data pipelines. Develop data processing workflows using Databricks, Delta Lake, and Spark technologies. Maintain and improve the Data Lakehouse, utilizing Unity Catalog ...

• Contract

... https://jobeax.com/link/8om4ubga9gvjbUNE Contact: View phone number on https://jobeax.com/link/8om4ubga9gvjbUNE #Hiring #DataEngineer #SeniorDataEngineer #AzureDatabricks #Databricks #PySpark #PythonDeveloper #AzureCloud #DataEngineering #BigData #ADF #ADLS #SQL #BangaloreJobs #TechHiring #AndorTech #HiringNow #DataPlatform ...

• Hybrid
• On-site

... experience is entirely on managed cloud services, this will not be the right fit. What You Will Own The platform Stand up and operate the on-premises data lake and processing layer — storage, compute, orchestration and access control. The canonical model Work with engineers and business analysts to design a shared data model across ...

80k

... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...

• Full-time

Senior Data Engineer – Data Pipelines & Cloud Databases Location: Pune | Experience: 4+ years | Type: Full-Time Role Overview Design, build, manage enterprise data pipelines on Azure and Databricks. Own schema design, API development, and data infrastructure for analytics and intelligence products. Key Responsibilities ...

• Full-time
• Contract

... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...

... Build data lake components on cloud-based platforms Design and develop data marts for business analysts and data scientists Data Engineering & Pipelines: Design data pipelines to integrate structured, semi-structured, and unstructured data from multiple sources Implement ETL/ELT processes to transform and cleanse data Ensure ...

• Hybrid

... closely with cross-functional product teams, data scientists, and senior stakeholders to translate intricate business requirements into scalable, high-performance data pipelines. By architecting efficient storage and processing solutions, you will directly influence the speed and accuracy of decision-making across the organization, ...

... controls Identify gaps, defects, and technical debt across the platform and remediate where implementations are incorrect or sub-optimal Ensure correctness of data processing patterns including change data capture, slowly changing dimensions, deduplication, and business reconciliation Design and implement target-state architectures ...

• Full-time

Data Science Data Engineer Work Type: Full Time At VIDA we're building the future of digital identity. As a Data Engineer you'll work across the stack—from platform and infrastructure to data pipelines and end-user tooling. You'll help us modernize our batch ETLs and lead our push into streaming and real-time fraud detection. ...

• Hybrid

... optimized SQL queries for data extraction, transformation, and analysis.- Build and manage ETL pipelines using AWS Glue.- Work with AWS Glue Data Catalog for metadata management and data discovery.- Design and implement serverless data processing solutions using AWS Lambda.- Use Amazon S3 for scalable data storage and data ...

... techniques. Hands-on experience integrating and optimizing Starburst/Trino, including connecting Starburst from Lambda and Glue ETL jobs. Experience with NoSQL databases such as DynamoDB, MongoDB. Experience working with data formats including Avro, Parquet, JSON, XML, and CSV. Comfortable challenging your peers and leadership ...

... details related to data engineering or a relevant https://jobeax.com/link/cwwOL3BLJkve6nkU Skills :- Azure Databricks, Python, pyspark, sql, ADF- Proficiency in data pipeline design and implementation- Strong understanding of data factory and orchestration toolsPreferred Skills:- Familiarity with advanced data processing techniques- ...

... (mandatory) for data engineering use cases PySpark / Sparkbased processing Building reusable ETL components, utilities, and data pipelines Strong understanding of data modeling, transformations, and performance optimization Data Processing & Engineering Proven handson experience with distributed processing frameworks such as ...

... using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering tasks and Power BI as data analytics work - In-depth knowledge of performance optimization techniques for large-scale data processing, including code ...

Senior Data Engineer Starts Immediately Competitive salary Competitive salary Experience We are looking for a Senior Data Engineer to join our team. In this role, you will design, build, and optimize scalable data pipelines on the Databricks Lakehouse Platform. You will partner with data science, analytics, and business ...

... magic! Model Development: Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: ...

... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...

• Remote

... GIS, remote sensing, or geospatial data operations; Strong hands-on knowledge of satellite imagery sourcing (optical, SAR, multispectral) and remote sensing data pipelines. - Proven experience managing image annotation/data labeling teams and processes at scale. - Demonstrated experience handling third-party vendors/BPOs ...