3,585 analyst data analytics jobs in India.

• Hybrid

... and analyzing data stored in Amazon S3.- Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.- Collaborate with data architects, analysts, developers, and business stakeholders to understand data requirements.- Ensure data quality, security, governance, and best practices across ...

... 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 ...

... dedicated to innovation and excellence in data https://jobeax.com/link/fc637Lq7iXaUjBEJ mission is to empower businesses through advanced data engineering and analytics, fostering a culture of collaboration and continuous https://jobeax.com/link/yeka7e9uOhXV2ngJ the Role :We are seeking a Senior Fabric Data Engineer who can ...

... aggregations, performance tuning, and analytics Handson experience handling largescale datasets in Redshift / Athena Strong Python programming skills (mandatory) for data engineering use cases PySpark / Sparkbased processing Building reusable ETL components, utilities, and data pipelines Strong understanding of data modeling, transformations, ...

... 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: ...

• Full-time

... stakeholders, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centres and AWS regions. Create data tools for analytics and data scientist team members ...

... implementations, from requirement gathering to post-migration validation. Execute data extraction, transformation, and loading (ETL) processes leveraging Guidewire Data Migration Suite, Mammoth tools, and relevant migration utilities. Collaborate with business analysts, data architects, and Guidewire developers to define data ...

... BigQuery, Cloud Functions, Composer, GCS Proficient hands-on programming experience in Spark/Scala (python/java) Proficient in building production level ETL/ELT data pipelines from data ingestion to consumption Data Engineering knowledge (such as Data Lake, Data warehouse - Redshift/Hive/Snowflake, Integration, Migration) ...

... collaboration tools like GIT, Jira, and Confluence.- Understanding of cloud platforms (AWS, Azure, or GCP).- Understanding of Commercial Pharma landscape and Patient Data/Analytics is a huge https://jobeax.com/link/fHKyZeByh8srlPka Thinking & Communication : - Analytical mindset with a systematic approach to problem-solving.- Ability ...

We are seeking a Data Engineer to join our team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL ...

• Remote
• Contract

... provide constructive feedback, and work closely with researchers and stakeholders to ensure alignment with project objectives. Develop and optimize Python-based data science solutions using public datasets. Create well-documented Python code using Jupyter notebooks. Bachelor's/Master's degree in Engineering, Computer Science, ...

• On-site

... evaluating and implementing data-engineering and software technologies - In addition, you have experience in programming languages and frameworks: SQL, Python, Spark, Databricks (Delta Lake) - Experience in data storages - SQL and NoSQL databases, Azure Data Lake Storage- and in developing data solutions, models, API and software ...

... DAX - Experience designing Data Warehouse and analytics solutions - Good understanding of Data Lake concepts and structured, semi-structured, and unstructured data - Strong problem-solving, communication, and ownership skills What Will Excite Us: Strong experience in SQL query tuning, data modeling, and DWH design Hands-on ...

... next-generation AI systems with high-quality data services. We are seeking a skilled Data Engineer to help scale and enhance our internal data observability and analytics platform. This platform integrates with data annotation tools and ML pipelines to provide visibility, insights, and automation across large-scale data operations. ...

• Hybrid

... Storage Programming: Python, SQL Data Processing: Dataflow, Apache Beam, Dataproc, Spark/PySpark Orchestration: Cloud Composer, Apache Airflow Transformation: Dataform, dbt Engineering: Git, CI/CD, Automated Testing, Monitoring Data Engineering: ETL/ELT, Batch Processing, Data Modelling, Data Quality, Data Contracts, Metadata ...

... Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate with cross-functional teams including data analysts and engineers. ...

... statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role ...

• Hybrid

... solutions providing enterprise-scale data transformation across a broad range of projects. Your role will focus on delivering solutions that utilize large-scale data ingestion, processing, storage/querying, streaming, and batch analytics using Databricks . As part of a team, you will implement world-class solutions designed ...