4,050 big data developer jobs in India.

... all phases of the software development lifecycle (SDLC) - Conduct code reviews/peer reviews/desk checks, identify areas for improvement, and mentor junior developers - Ensure code quality, performance, and scalability of applications - Analyze and troubleshoot complex technical issues as needed Skills and Qualification ...

• On-site

... migration and modernisation programmes at enterprise scale. Experience with database upgrade, migration, and decommissioning strategies. Strong understanding of data migration tools, schema conversion, data validation, and migration testing approaches. Knowledge of additional database technologies including MariaDB, MongoDB, ...

... Title : SAP Datasphere and Native HANA DeveloperWork Location : Kolhapur, Hyderabad , Bangalore, Chennai, VisakhapatnamExperience : 5 to 9 yearsRequired Skills : Datasphere, Native HANA ,B4HANAResponsibilities :- 5 - 9 years on Datasphere,BW4HANA,Native HANA Modeling,Hands on experience in : - Working knowledge of Datasphere ...

... microservices using Django.- Design and implement scalable and secure APIs.- Integrate Azure Cloud services for application deployment and management.- Utilize Azure Databricks for big data processing and analytics.- Implement data processing pipelines using PySpark.- Collaborate with front-end developers, product managers, and ...

... 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 ...

• Remote
• Contract

... LLMs, AutoGen, OCR, Databricks, PySpark, Python, Azure DevOps, and enterprise AI platforms. The role requires strong hands-on experience across SQL Server, 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 ...

... performant Use AI tooling within DE workflows, including code generation, pipeline automation, and data quality 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 ...

... security, and scalability while enabling faster and more reliable software delivery. Key Responsibilities: - Hands on experience working on Databricks, creating data pipelines, transformation rules using Unity Catalog, PySpark, SparkSQL - Hands on Databricks Devs – Deployments, CICD, Performance Management - Hands on Databricks ...

... AI-first data strategy at scale across 120M+ customer interactions. Databricks Apps & Self-Serve AI Develop and deploy internal AI-powered applications using Databricks Apps — enabling business users to interact with ML models, RAG systems, and analytics agents through governed, self-serve interfaces. Integrate Databricks ...

... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...

... 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)

... insights. Proficiency in statistical programming languages. · Data Visualization: Create advanced data visualizations to communicate findings effectively. Big Data Technologies: Utilize Big Data technologies and platforms such as to handle and analyze large volumes of data. · Conduct research to develop and refine data science ...

... a highly capable Data & Reporting Analyst to join our Finance function. It is a precision-driven position responsible for producing reliable, decision-grade data outputs that underpin business performance reporting across multiple jurisdictions. The role involves working with large, complex datasets extracted from systems ...

• Contract

1600

... working with large datasets. Experience building dashboards and reporting using tools such as Hex, Looker, Tableau, Power BI, or similar. Familiarity with modern data warehouses and transformation tools such as Snowflake, BigQuery, Databricks, or similar. Strong understanding of data modeling, data quality, reconciliation, ...

... in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. ...

• Hybrid

₹5 INR

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 ...

• Hybrid

... a multi-layer multi-objective problem space which has a unique impact on Global consumer base and powers assisted AI for our associates. The team consists of data scientists, application engineers, big data geeks and product visionaries all working together to design, prototype and build technology-driven products and experiences ...

... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...

... agenda Optimizing and integrating different data sets to enable the undertaking of advanced analytics to identify growth opportunities. Responsibilities As the data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning ...

... Data Management/Governance Policies, Procedures, Processes, Standards and Control Providing inputs and recommendation on Data practices, Data definitions and Data Quality Escalation of any data governance related issues identified to the senior leadership Managing change management processes in the Data Governance. Understand ...