3,486 reference data analyst jobs in India.

Roles and Responsibilities - Booking Journal Entries basis bank statements and client - Preparation of Bank Reconciliation and maintaining the respective financial logs - Prepare monthly financial reporting package for the Hedge Funds, including the determination of "Net Asset Value" and prepare the Statement of Asset

... degree in computer science, econ or similar field or 2 years of experience and a Masters degree - Analytical mind with a strong ability to derive insights from data and translate them into actionable strategies. - Self-starter with the ability to take initiative, manage multiple projects, and drive them forward to completion. ...

Databricks Admin - ArchitectLocation : Pune (preferred)Experience : 11-18 YearsMandatory Skills : Databricks Administration, Unity Catalog, TerraformCore Platform Skills :- Databricks workspace and account administration- Cluster management, policies, and SQL warehouses- Strong Unity Catalog implementation and governanceData ...

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, ...

... working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. Outsourcing Senior Analyst We are looking for an Outsourcing Senior Analyst to join our Enterprise Risk and Resilience team. This role supports execution of the outsourcing framework, ...

... (FOAA) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. FOAA is seeking a Finance Analyst to support our Central Accounting and Tax Compliance. Perform/Support the month end activities which include closing of sub ledgers, general ledger account ...

... EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY ...

... Agentive AI capabilities). They specialize in databases, such as MySQL, PostgreSQL, and Vector databases. In that capacity, DBREs are peers to SREs and bring database expertise to the SRE and Infrastructure teams and our engineering teams. You will implement best practices across supported datastores ( MySQL, PostgreSQL, ...

... automated training, evaluation, and deployment (Azure preferred). Establish governance frameworks for ethical and compliant AI development. Mentor and upskill data science teams on emerging technologies and best practices. 10+ years in Data Science, AI/ML, with proven leadership in enterprise-scale projects. - Expertise ...

... Dimensions (SCD), Entity and Grain Definition, KPI and Metric Design, Semantic Layer Development, Data Transformation and Aggregation, Structured and Semi-Structured Data, JSON / Nested Data, NoSQL concepts, Snowflake and/or Databricks, Practical Python, Data Quality, Reconciliation, and Validation, Analytical Data Warehousing ...

... frameworks for consumption of machine learning models at scale. - Perform feature engineering through extracting meaningful features from traditional and alternate data sources. - Mentor team of data scientists - Proficiency in Python, SQL, AWS / GCP / Azure - Bachelor's / Master's degree in mathematics, Statistics, Economics, ...

... dictionaries, mapping specifications, interface contracts, test datasets and data-quality documentation. Support performance tuning, partitioning, indexing, data retention, archival and privacy-aware data handling. Minimum 7 years of experience in data engineering, ETL/ELT development, data warehousing, data platform engineering ...

... Knowledge of Agile and Scrum methodologies is an advantage. Experience in the energy, finance, or comparison platform industry is desirable. Role: Business Analyst Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics ...

... candidate is hands-on, curious, and adaptable , with the ability to contribute to both data pipeline development and AI-driven solutions . Key Responsibilities Data Engineering - Support the design and development of data pipelines using Azure Data Factory, Databricks, and related services . - Develop and maintain data transformations ...

... scalable ETL pipelines for large-scale data processing.- Build and optimize distributed data applications using Spark and Scala.- Develop reliable, high-performance data pipelines for batch and streaming workloads.- Work with large datasets to ensure data quality, consistency, and performance.- Collaborate with engineering, product, ...

... BigQuery and advanced SQL.- Experience with Dataform or dbt.- Hands-on experience with Cloud Composer/Apache Airflow.- Experience with Dataflow/Apache Beam and/or Dataproc/Spark.- Strong understanding of data modelling, schema evolution, data quality, and data pipelines.- Experience with batch and streaming data processing.- ...

Job Overview : As a Software QA & Testing Engineer, you will play a pivotal role in ensuring the highest standards of software quality. You will be responsible for the design and implementation of testing plans, the execution of tests, and the reporting of issues found.

... 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 ...

... for theirs. We use cutting-edge technology to link our clients’ systems, departments and sites. We provide an open technology platform that’s shaping the industry for the future. We use data to help clients become more efficient, increase profitability and give more customers an amazing experience. Want to be part of it?

... years of experience in data engineering, analytics engineering, or data infrastructure roles ● 3+ years of experience managing multi-team or multi-functional data organizations Deep expertise in modern data stack tools and concepts, including ELT pipelines, cloud data warehouses, dbt, orchestration frameworks, and data ...