2,034 data scientist jobs in India.

Maxgen Technologies Pvt ltd is an it company based in Ahmedabad Gujarat .Engineering and IT freshers will get data analyst internship and power bi program. What Services we are offering Online or offline program. live project in internship. hybrid mode internship. college project for interns.

Job Role: Senior Data Engineer- Implementation & Modernization Location: Experience: 8+ Years The Data Engineer is responsible for building and optimizing high-performance, large-scaled data solutions on modern cloud platforms. This role focuses on developing Senior Data Engineer- Implementation & Modernization The Data ...

... integration, primarily using Azure Databricks , Azure Data Lake , and Microsoft Purview . Pipeline Development – Design, build, and deploy robust ETL/ELT pipelines in Databricks (PySpark, SQL, Delta Lake) to ingest, transform, and curate governance and operational metadata from multiple sources landed in Databricks. Granular Data ...

... in end-to-end data transformation and pipeline development Detailed Job Description Mandatory Technical Skills: Snowflake Data Warehouse Python Scripting DBT (Data Build Tool) Apache Airflow Advanced SQL End-to-End ETL/ELT & Data Pipeline Development Key Requirements Strong hands-on experience in Snowflake data warehousing ...

... APIs. - Database technologies and Timeseries databases like OSIPI, PostgreSQL, Timescale and SQL.. - Developing applications and/or scripts utilizing Timeseries data. - Linux, Windows OS, Containers. - Data management and data integration strategies. - Amazon Web services and/or cloud technologies. - Visualization/reporting ...

... exposure to these technologies. ⚠️ If Databricks is not a core part of your recent hands-on experience, this role may not be the right fit. Job Title: Senior Data Engineer Specialization: Data Engineering | Databricks | Lakehouse | Data Platforms | AI-Ready Data Experience: 5+ Years Location: BNG | HYD | PUN | MUM | GGN ...

... (strong fluency required) Databases : PostgreSQL, MySQL, large-scale (multi-TB) database management ETL/ELT Pipelines : Experience with Pentaho, AWS ETL tools Data Architecture : Strong understanding of data warehousing , big data pipelines Tools & Platforms : GitHub, unstructured data handling, Airflow (deep expertise) ...

... . Good team player . Interest in technologies and innovation . Knowledge of formalisation and communication tools (MS Office - MS SharePoint) . Knowledge of statistical and datamining techniques (SAS, SPSS, VBA, ACCES) or SQL database languages . Proficient in English . Perfectly at ease in a multi-cultural environment

... and maintain scalable data pipelines for data processing and transformation Build and manage workflow orchestration using Apache Airflow Develop and maintain data models and transformations using dbt Work with BigQuery or similar cloud data warehouses for data storage and querying Manage and interact with cloud object storage ...

... quality, and observability. Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). - Create data aggregates & marts: Data modeling & contracts: Define schemas, data contracts, and ...

... practices for data quality, governance, and security in line with company policies. Performance Optimization : Continuously monitor and improve the performance of data systems and pipelines, ensuring low-latency and high-availability. Collaboration : Work closely with cross-functional teams (data scientists, analysts, product ...

Opportunity Overview We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform. You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases. ...

... Engineering, Data Science or a related field. 10+ years of hands-on experience in data engineering, with at least 5 years in a people management role leading data platform or data infrastructure teams. Deep expertise in data warehousing, data modeling (dimensional and Data Vault), ETL/ELT design and big data technologies. ...

... with demonstrated expertise in enterprise data management and related technologies - 5-10 years of data architecture experience - Thorough knowledge of Erwin Data Modeler - Thorough knowledge of data warehousing concepts and the ability to create a dimensional design - Strong understanding of data modeling best practices ...

... accountable for delivering exceptional results. Perform development work and technical support related to our data transformation and ETL jobs in support of a global data warehouse. Development of new ETL/data transformation jobs, using PySpark and IBM DataStage in AWS. Enhancement and support on existing ETL/data transformation ...

We are hiring for Senior Data Engineer (MS Fabric & Telecom) Work location: Bangalore, Karnataka, India Experince: 8 to 10 years Notice: Imdiate to 30 days only Role Overview As a Senior Data Engineer, you will be at the forefront of our data transformation, specifically architecting and building the next generation of ...

Pro Arch is seeking a Senior Data Engineer with 3-5 years of experience to join our Data & Analytics practice. In this role, you will design and deliver scalable data solutions, optimize performance, and enable advanced analytics across cloud platforms. You will work with large-scale datasets, modern cloud-native technologies, ...

... age AWS stack (S3, EMR, Redshift) or traditional BI & DW with interest in data mining and ability to sieve emerging patterns and trends from large amount of data. Data Engineer should have strong experience with all standard data warehousing technical components (e.g. ETL, Reporting, and Data Modeling), infrastructure ...

... SCOPE, Scala, SQL, Python, or C# Data extraction across a wide variety of data sources Data cleaning, preprocessing, and transformation for further analysis by data analysts Data Validation framework from source to endpoints ensuring data quality and integrity Enable the Data Scientists and Analysts to do more with data across ...

... larger Marsh data eco-system Build consolidated views using disparate data sources and placement data that includes Coverages, Exposures, Losses and trading data that can provide insights Solve business pain points using 'Business Consultant' skills using data and technology – lies with the business and data leaders Leverage ...