2,060 good data lab jobs in India.

Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills Common Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow, ...

... evaluation frameworks, and apply advanced techniques like reinforcement learning to enable multi-step reasoning and https://jobeax.com/link/V8PpAgs2ePS7Wu3Z'llcollaborate across engineering, product, and partner teams to ensure agents are performant, secure, reliable, and extensible—empowering customers and partners to build ...

... architectures knowledge - Python, SQL (Any other OOP language is also valuable) - Pyspark (preferably) or Spark Knowledge - Object-oriented programming, Clean Code and good documentation skills - AWS: S3, Athena, Lambda, Glue, IAM, SQS, EC2, Quicksight, and etc. - Git - Data Analysis & Visualization Additional Skills: - AWS CDK Cloud ...

... is a GUI-driven tool that extends Excel capabilities to optimize outcome time, minimize user errors, and enhance reliability and accuracy with diverse source data types. NET core architecture, XL++ works on all Excel versions and processes large datasets efficiently. It features customized add-ons for data import, transformation, ...

... and optimizing data pipelines. You will work closely with AI/ML teams to ensure data availability, quality, and performance for analytics and GenAI use cases. Data Pipeline Development Build and maintain scalable ETL/ELT pipelines for structured and unstructured data. Ingest data from diverse sources such as APIs, streaming, ...

... well-governed data across investment management platforms. Experience: 4-10 Years Review, analyze, and resolve data quality issues across the Investment Management (IM) data architecture. - Collaborate with data owners and cross-functional teams to identify root causes of data issues and implement corrective actions. - Manage the ...

... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...

... learning, NLP, and other quantitative techniques to solve business problems Experience in deep learning Creative thinker who has proven ability to innovate through data exploration and application of solutions Strong technical and remote collaboration skills are a must Any exposure to Generative AI would be a great addition. ...

As a Reference Data Specialist within the Instrument, Pricing & Common Reference Data team, your role will encompass a variety of responsibilities. These include daily capture and validation of bond prices from third-party sources, analyzing price movements in relation to market news and expectations, and liaising with ...

... databases and lead management Basic understanding of data segmentation for marketing campaigns Key Competencies: High attention to detail Strong analytical and organizational skills Data accuracy and quality management Ability to work independently and manage repetitive tasks efficiently Good communication and teamwork skills

Key Responsibilities: Edit and format candidate CVs Source potential candidates based on the given requirements Maintain and update data in Excel Review information carefully to make sure it is correct and complete Help the team with daily tasks as needed Requirements: Basic knowledge of Microsoft Excel Strong attention ...

... NoSQL databases - Deep understanding of conceptual, logical, and physical data modeling techniques - Experience working with structured, semi-structured, and metadata-driven datasets - Knowledge of data quality, data governance, and metadata management principles - Experience collaborating with technical and business stakeholders ...

... workflow execution. Develop and integrate APIs/services : design and implement RESTful (and/or event-driven) integrations to serve models, agents, features, and data products. Build scalable data pipelines with Apache Spark (PySpark/Scala) for batch processing and feature generation. Use SQL extensively for exploration, transformations, ...

... Technologies (AWS S3/Databricks/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME) - Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow and support building PRESTO/Trino queries for the key stakeholders - Design, scale and deploy Machine Learning pipelines. - Collaborate ...

... implementing KYC standards, guidelines, policies, and procedures. You will handle and maintain confidential client documentation, collect and verify confidential client data, and review client data/processes to meet firm-wide quality standards. This role provides an opportunity to engage with the Middle office and be part of KYC/AML ...

Job Title: Data Engineer Location: Hyderabad, India Work Shift: EST (5 PM - 2 AM IST) Transportation will be provided Employment Type: Full-time Role: Work collaboratively with the Provider Team, Call Center Specialists and other Nations Hearing employees. The person in this role will actively engage in day-to-day communications ...

Hi All, W are hiring Data Engineers, 4-9 years experience with below mandatory Skills . Job Location : Pan India ( Tech M Location) Azure Databricks, ETL, Pyspark & SQL, Medallion architecture Informatica knowledge. Fact & dimension table Medallion architecture Data bricks certification preferable ADF, Databricks, Pyspark, ...

... background in Python, PySpark, and SQL, to join our growing data engineering team. The ideal candidate will have hands-on experience with cloud data platforms, data modelling, and a proven track record of building and optimising large-scale data pipelines in agile environments. Design, develop, and maintain robust data pipelines ...

... languages like Python, and SQL Solid understanding of data pipeline, data platform, data lake, data warehousing and analytics Research, design, and implement data modeling to solve complex problems Understand business requirements and translate into data pipelines and build data model transformations for reporting and analytics ...

... Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Graph Databases Good to have skills : NA Minimum 3 year(s) of experience ...