Data Analytics Sr. Developer

Daten; Dadri; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

A leading tech company in India is seeking an experienced Data Analytics Sr. Developer to design and maintain enterprise data solutions. The role requires strong expertise in ETL development, BI tools like Informatica and Tableau, and cloud environments such as GCP and AWS. The ideal candidate has over 8 years of experience, excellent problem-solving abilities, and strong communication skills to work with teams effectively. Competitive shift hours: 5pm-2am IST.

Qualifications

• 8+ years of experience in data analytics.
• Strong hands-on experience in ETL development and BI tools.
• Experience with cloud data workloads migrations.

Responsibilities

• Design and maintain data analytics solutions.
• Support and optimize Informatica ETL infrastructure.
• Develop scripts for automation using Python or Bash.

Skills

ETL development

Business Intelligence tools

Cloud migrations

SQL

Python

Tableau

Education

Bachelor’s degree in Computer Science or related field

Tools

Informatica

Tableau

Google Cloud - Big Query

AWS Redshift

Azure

Job description

We are looking for an experienced Data Analytics Sr. Developer to design, develop, and maintain enterprise data analytics solutions. The role involves working with Informatica, SQL/PLSQL, Tableau, and cloud data warehouses (GCP BigQuery, AWS Redshift, Azure) to deliver scalable and cost-effective data pipelines, reporting, and dashboards. The ideal candidate will have strong hands‑on experience in ETL development, BI tools, and cloud migrations, along with excellent problem‑solving and communication skills to collaborate effectively with business and technical teams.

Key Responsibilities

• Infrastructure Management:
  • Support and maintain infrastructure related changes as for Informatica ETL tasks.
• Monitoring and Performance Optimization:
  • Manage monitoring of production informatica ETL tasks and provide proactive production support for issues/failures.
• Collaboration and Communication:
  • Work closely with business teams to understand data analytics requirements and provide appropriate data design solutions.
  • Facilitate communication with business groups and UAT teams for end-to-end delivery.
• Automation and Scripting:
  • Develop and maintain scripts and automation tools to streamline repetitive tasks and processes.
  • Use scripting languages such as Python, Bash, or PowerShell for automation purposes.
• Security and Compliance:
  • Implement and enforce security best practices and policies for data and reports access.
• Incident Management and Troubleshooting:
  • Respond to and resolve operational issues, outages, and incidents.
  • Perform root cause analysis and implement preventive measures to avoid future incidents.
• Development
  • Develop Informatica ETL jobs and SQL queries to support various data analytics projects.
  • Develop ad‑hoc Tableau dashboards to be presented to executive management.
  • Ensure cost effective implementation in cloud DWs like GCP Big Query/AWS Redshift/Microsoft Azure.

Required Skills and Qualifications

• Technical Skills:
  • Implementing Business Intelligence solutions with tools like Informatica IICS, SAP Business Objects, Tableau or any other Business Intelligence (BI) tools and backend databases like Oracle and MongoDB.
  • Extensive hands‑on experience with SQL and PL/SQL.
  • Proficiency in Google Cloud – Big Query.
  • Experience with data cataloging tool like Informatica Cloud Data and Governance (aka Informatica Enterprise Data Catalog).
  • Hands‑on experience on BI tools like Tableau, SAP Business Object (Webi).
• Analytical Skills:
  • Strong problem‑solving abilities to diagnose and resolve issues.
  • Ability to analyze business requirements and design appropriate data models to improve performance and cost profile.
• Communication Skills/ Soft Skills:
  • Excellent verbal and written communication skills for documentation and support.
  • Excellent problem‑solving and analytical abilities.
  • Strong communication and collaboration skills. Ability to explain technical concepts to non‑technical stakeholders.
  • Ability to work under pressure and manage multiple priorities.
• Education and Experience:
  • Bachelor’s degree in Computer Science, Engineering, or a related field with 8+ years of experience in data analytics.
  • Experience in creating data pipelines, especially in cloud environments.
  • Experience in migrating data workloads from on‑prem to cloud DWs.

Preferred Qualifications

• Experience in cloud data computing on GCP, Azure, AWS, etc.
• Experience in Data Catalog tools such as Informatica CDGC etc.

Shift- 5pm-2am IST