3,551 data analyst excel jobs in India.

... Information Retrieval, Semantic Search, Recommendation services (on top of Elasticsearch also leveraging LLMs/Embeddings and GenerativeAI) Large scale distributed data processing (based on Apache Spark / Scala) Streaming data processing (based on Google DataFlow/ApacheBeam) Senior-level ML engineers are preferred, but all levels ...

... support AI/ML workloads, including experience with feature stores, vector search, or ML pipeline infrastructure ● Strong experience with at least one major cloud data platform such as Snowflake, BigQuery, or Databricks ● Demonstrated ability to recruit, develop, and retain high-performing engineers and tech leads ● Excellent ...

... application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven ...

... Terraform, CloudFormation) and containerization/orchestration tools like Docker and Kubernetes. Distributed data processing (e.g., Shell scripting, Bash) to automate data workflows and tasks. Experience supporting data science or ML teams with clean, well-modeled data. Exposure to data governance, cataloging, or data quality frameworks ...

... design, build, and operate high-reliability ETL pipelines across multiple FBA business domains, drive the DBT migration strategy, and establish monitoring and data quality frameworks. You will partner with Data Engineers, Business Analysts, and SMEs to ensure the data foundation meets strict accuracy, freshness, and documentation ...

... transformation, and loading (ETL) of data. Your responsibilities will include: - Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. - Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. ...

Supports, develops and maintains a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Works with the Business and IT teams to understand the requirements to best leverage the technologies to enable agile data delivery at scale. Implements and ...

... experience with cloud platforms (e.g., AWS, S3, Redshift, Glue, etc.) Familiarity with distributed systems (e.g., Hadoop, Spark), NoSQL databases, and cloud data warehouses (e.g., Snowflake, BigQuery) Personal Attributes Strong problem-solving and analytical skills Entrepreneurial mindset and initiative-driven Excellent ...

... drill-down dashboards enabling business leaders to analyze trends and root https://jobeax.com/link/xO27IwB87boM1kxT Engineering & Automation : - Consolidate data from Excel, CSV, databases, APIs, SharePoint, and business systems.- Develop reusable data models and reporting pipelines.- Automate data collection, cleansing, ...

... analytics, BI self-service and AI use cases.- Databricks Workflows) and compute engines (Spark, SQL, Python).- Data Quality, Governance & Observability : - Implement data quality checks, validations, and monitoring to ensure reliability and trust in data products.- Contribute to data lineage, metadata management, and documentation.- ...

... Teradata, Python and Julia.- The candidate must have experience in Python and Julia for data processing, analysis and automation.- 2-4 years of experience in Teradata, Python, and Julia.- Strong experience in data engineering and data analytics.- Good knowledge of Provider domain.- Experience working with Teradata databases.- ...

... multiple data sources, and building semantic data layers for analytics and https://jobeax.com/link/eQK4uag79A3cPnLy Responsibilities :- Design and develop scalable data virtualization solutions using Denodo.- Create and maintain Base Views, Derived Views, Joins, Unions, Interfaces, and Data Services.- Integrate data from multiple ...

... datasets and ensure strong data contracts. Support production operations, including on-call rotations for critical pipelines as needed. Hands-on expertise in GCP data stack: BigQuery, Dataflow (Apache Beam), Dataproc, Cloud Storage, Pub/Sub, Cloud Composer (Airflow). Advanced SQL and data modeling: star/snowflake schemas, slowly ...

... Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angel investors. About the role:- We are looking for a Data Engineer II (SDE-2) to join our data team. The ideal candidate will be a play a key role to develop of high performant and scalable Data Lake-house , moving us toward a world of sub-minute data latency ...

Role: Data Engineer - Power BI Modelling Level: 7-15 years Build and maintain Power BI semantic models (DAX, star schemas) for enterprise reporting. Develop PySpark/Python and SQL pipelines feeding the Snowflake environment. Translate reporting requirements into performant data models. Ensure data quality. Validate accuracy ...

... for structured and unstructured data. Integrate data from multiple internal and external sources into centralized systems. Build scalable batch and real-time data processing workflows. Data Infrastructure & Architecture: Develop and maintain data lake, data warehouse, or data mesh architectures. Ensure high availability, ...

... performance, etc.). Excellent written and verbal communication skills in English. Experience with cloud technologies and distributed systems. Experience with data transformation frameworks and data pipeline orchestration tools. Experience managing large volumes of data and optimizing data processing. Understanding of event-based ...

... scalable data systems that support next-generation products and analytics initiative. As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization ...

... and Snowflake Build, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumers Own and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environments Collaborate with software engineers, analysts, ...

... emerging trends to redefine how data creates value. If you're a visionary professional with a passion for data-driven strategy, digital innovation, and operational excellence - this is your opportunity to make a difference at scale. Step into a role where your expertise fuels transformation. Data Engineering & Architecture Design ...