Data Analysis Programmer in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
# Summary Responsible for designing and implementing enterprise observability dashboards and analytics solutions using Grafana, with deep expertise in OpenTelemetry Protocol (OTLP) formatted metrics, traces, and logs. This role focuses on transforming telemetry data into actionable insights through advanced visualization and monitoring capabilities.
# Key Responsibilities
Design and build comprehensive Grafana dashboards for metrics, traces, and logs visualization using OTLP data sources
Implement advanced alerting and notification systems based on observability data patterns
Create standardized dashboard templates and observability best practices for enterprise adoption
Collaborate with infrastructure teams to optimize data retention policies and query performance
Establish SLI/SLO monitoring frameworks and implement reliability engineering practices
Integrate observability data with business intelligence tools and create executive-level reporting
## Core Skills
**Grafana Administration**: Advanced dashboard creation, templating, alerting, and plugin development
**OTLP & OpenTelemetry**: Deep understanding of metrics, traces, logs formats and semantic conventions
**Database Knowledge**: PostgreSQL optimization for telemetry data
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... for a data professional to join our Data Engineering team. Independently execute data engineering projects Undertake processing of structured and unstructured data Development of data processing codes for automation & building scalable solutions Develop and maintain data solutions for clients / projects Communicate and interact ...
... Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing Data Engineering ...
... maintain scalable data pipelines and data lake solutions on GCP. Build and automate data ingestion and transformation workflows using Airflow and BigQuery. Ensure data quality, performance, and security across all cloud environments. Collaborate with cross-functional teams to translate business needs into efficient data models. ...
... https://jobeax.com/link/fYGlpInxuIv5PeS1 & Skills :- 4 - 7 years in data engineering: SQL, Python, ETL/ELT orchestration.- Cloud data platform experience (Azure preferred): pipelines, storage, APIs.- Strong understanding of data lake and data architecture.- Data modelling for analytics (star schema) and data quality frameworks. (ref:hirist.tech)
... opportunity for you. Key responsibilities: 1. Collaborate with cross-functional teams to identify and analyze business requirements 2. Develop and implement data models, algorithms, and visualizations to extract insights from large data sets 3. Conduct in-depth data analysis to uncover trends, patterns, and anomalies 4. ...
As a key member of the QTC, you will play a pivotal role in migrating data from diverse sources and applications, developing solutions, validating systems, and addressing various challenges in enterprise applications. You will be involved in the complete development lifecycle—from analysis and design to testing and release—focusing ...
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... efficiency . Integrate data from multiple internal and external systems while maintaining data consistency and reliability. Develop Python-based automation and data-processing solutions. Monitor production pipelines, troubleshoot failures, and perform root-cause analysis. Follow modern software engineering practices including ...
... Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering experience in Banking Risk, Retail Products, Cards, Mortgage, Deposits, or Wealth Management. Assumed Requirements / Certifications: Databricks Certified Data Engineer, AWS Certified Data Analytics, or Azure Data Engineer Associate.
... evaluation scenarios for MLE Bench. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ML outputs and evaluation metrics . Ability to work with large, complex datasets and ...
... to engage with non-technical business leaders to understand their data needs and translate them into accurate, visual reports. Desired Skills (Bonus Points) Tableau Certification (e.g., Tableau CertifiedData Analyst, Desktop Specialist). Experience with Python or R for advanced statistical analysis feeding into Tableau
... tools while working remotely. Your key responsibilities will include: Collecting, organizing, and analyzing data from multiple sources Cleaning and preparing datasets for analysis Writing SQL queries to retrieve and analyze data Performing exploratory and descriptive data analysis Identifying trends, patterns, anomalies, ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
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... validate data from multiple sources Perform exploratory data analysis (EDA) Develop dashboards and reports using BI tools Interpret trends and patterns in complex datasets Present insights to stakeholders in a clear and actionable manner Write SQL queries to extract and manipulate data Automate data processes where possible ...
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