Big Data Analyst Jobs in Dindigul
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Recro-Dindigul
Primary_skills(Must_have)
• Programming Skills: Proficiency in Python, Pyspark, and SQL is essential.
• Big Data Experience: Hands-on experience with Spark and relational databases such as Postgres is required.
• Orchestration Tools: Familiarity...
KMK Consulting Inc.-Dindigul
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.
Our data analytics and software platforms support data science, commercial operations...
Canopus Infosystems - A CMMI Level 3 Company-Dindigul
of data warehouses and data analytics systems.
• Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
• Defining and managing the flow of data and dissemination...
KittySpout-Dindigul
with our marketing team to implement new features and optimize existing ones
• Use data analytics to make informed decisions about website improvements
• Ensure website security and maintain regular backups
• Optimize site speed and mobile responsiveness...
ARSoft Consulting-Dindigul
Data Analyst Associate
• Knowledge of key data engineering principles and common development tools and methodologies (Azure DevOps, Git etc.), CI/CD methodologies, Build pipelines, with exposure to Agile development, Scrum
• Familiarity with big data...
Luxoft-Dindigul
further data sourcing changes, and new files.
Data Generation & Test:
• Work with Data Analysts to complete scripts and produce necessary files.
• Ensure files load into the system and generate expected results in templates.
Data Reconciliation...
Lingaro-Dindigul
data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.
About DS/AI Competency Center:
Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies...
Statsby Solutions-Dindigul
and analytics requirements.
• Align data models with overall data warehouse architecture and ETL processes.
3. Requirements Gathering:
• Engage with business stakeholders and data analysts to gather and analyze data requirements.
• Translate business needs...
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