38,279 informatica big data management jobs in India.

... Science, Computer Science, Data Science, Engineering, or a related field. * Strong experience with geospatial data, spatial analytics, GIS implementation, and data processing. * Hands-on experience with raster and vector datasets, coordinate systems, spatial metadata, and data quality validation. * Experience with geospatial ...

... In this role, you will transform raw data into actionable insights, supporting day-to-day data operations and executive reporting. You will query relational databases, build dynamic dashboards, and perform ad-hoc analyses to answer critical business questions. Key Responsibilities • Database Management & SQL: Write, run, ...

... seamless, scheduled data flow. - Develop reusable, scalable data pipelines and processes (automated extract → store → refresh cycles). - Operationalize agreed data structures; migrate and maintain structured evidence data into controlled, analytics-ready datasets. - Implement processes to monitor data quality, keeping data ...

... data to data science and business intelligence teams. Implement data quality frameworks incorporating validation, profiling, and anomaly detection to ensure data trustworthiness. Establish and maintain metadata management and data lineage tracking to provide transparency into data origins, transformations, and usage. Define ...

... integration tasks. - Practical knowledge of Oracle Data Integrator (ODI) for managing large-scale data migration projects. - Proven track record in performing thorough data validation and ensuring data quality standards. - Familiarity with IT Services industry standards and best practices for data management. [{"name": "full_time", ...

... Experience in designing, building, and maintaining scalable data architectures that integrate disparate data sources. - Strong fundamentals in distributed systems, data storage, and data modeling - Hands-on experience with a modern stack similar to dbt + orchestration (Airflow/Dagster) + cloud warehouse (Snowflake/BigQuery/Redshift). ...

... structure, enforcing modeling conventions, and ensuring consistent implementation of transformations, tests, and performance strategies. The dbt SME partners with Informatica SMEs to validate translation approaches and supports Data Engineers through code reviews and technical guidance, ensuring scalable, high-quality dbt delivery ...

... recommend remediation. - Coordinate with DataOps, DevOps and client security teams on security changes. Must-have skills - AWS security: IAM, KMS, secrets management, CloudTrail and audit logging - Access management and data protection practices - Security controls across cloud and on-premises data platforms - Audit and ...

... applying innovative technology solutions B2 level of English (Upper-Intermediate) or higher with strong technical communication ability Exposure to Cloud Computing, Big Data tools, and containerization solutions Experience with data visualization tools for communicating insights [{"name": "full_time", "text": "Full time", "categoryName": ...

Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. ...

... or Qdrant.- Advanced Python & Rust : Proficiency in Python for AI logic and Rust (or C++) for high-performance data processing and custom embedding functions.- Big Data Ecosystem : Hands-on experience with Apache Spark, Flink, and Kafka in a high-throughput environment (Trading/FinTech preferred).- LLM Data Tooling : Deep ...

... production-ready solutions Fluency in the UNIX command line Familiarity with Agile development practices Excellent communication skills in English, with a minimum proficiency level of B2+ Knowledge of Cloud Computing Experience with Big Data tools Familiarity with visualization tools Proficiency in containerization tools []

... solutions, and present actionable recommendations to senior stakeholders. This role requires a balance of technical depth, commercial understanding, stakeholder management, and the ability to mentor analytics teams while ensuring high-quality project delivery. Requirements Key Responsibilities 1. Data Science and Analytics Solution ...

... Key Responsibilities - Design and build scalable data pipelines and data-platform components. - Develop ETL/ELT workflows and data transformations. - Implement data-quality validation, testing and monitoring. - Optimize data-processing performance and reliability. - Automate deployments and support production data services. ...

... operational performance - Lead data science initiatives from problem formulation through deployment, monitoring, and continuous improvement - Collaborate with data engineers and ML engineers; provide technical guidance and mentoring to junior data scientists Requirements - Bachelor's degree with 7+ years experience, or Master's ...

... • 5+ years of strong hands-on experience with Databricks and PySpark. • Advanced SQL and data-processing skills. • Hands-on experience with GCP, particularly BigQuery . • Experience with Delta Lake and modern data lake/lakehouse architectures . • Strong understanding of ETL/ELT, data pipeline design, performance optimization, ...

... PhD in Computer Science, Engineering, or equivalent real-world experience.- Significant experience with Python, C++, or other popular language.- Experience with big data and/or infrastructure (e.g., Hive, Spark, Airflow).- Understanding of data organization (partitioning, clustering, file formats).- Proven ability to independently ...

... their role, deliver global projects, local enhancements, and break-fixes. Keys to Success: Experience Data Management & Development - Take an active part in the Data Engineering efforts and building of the Data platform required by the business. - Design, develop, and maintain data ingestion, data processing, and data pipelines ...

... engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud - Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt - 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems ...

... for rules, validation logic and monitoring processes. Requirements: - Experience in data quality, data analytics or data management roles. - Strong SQL skills (joins, aggregations, query optimization); basic to intermediate Python. - Hands-on experience with ETL pipelines and a data warehouse, data lake or Databricks. []