Senior Data Engineer

Greetings from Analytix Solutions…!!!

Senior Data Engineer

Company Name:

Company At Glance:

LinkedIn : Analytix Business Solutions (India) Pvt. Ltd. : My Company | LinkedIn

Roles & Responsibilities :

• Design, build, and maintain

  scalable, high-performance data pipelines

  and

  ETL/ELT processes

  across diverse database platforms.
• Architect and optimize

  data storage

  solutions to ensure reliability, security, and scalability.
• Leverage

  generative AI tools and models

  to enhance data engineering workflows, drive automation, and improve insight generation.
• Collaborate with

  cross-functional teams

  (Data Scientists, Analysts, and Engineers) to understand and deliver on data requirements.
• Develop and enforce

  data quality standards, governance policies

  , and monitoring systems to ensure data integrity.
• Create and maintain

  comprehensive documentation

  for data systems, workflows, and models.
• Implement

  data modeling

  best practices and optimize

  data retrieval processes

  for better performance.
• Stay up-to-date with emerging technologies and bring innovative solutions to the team.

Competencies & Skills :

• Bachelor's or Master’s degree

  in Computer Science, Information Technology, or a related field.

• 6–8 years of experience

  in

  data engineering

  , designing and managing large-scale data systems.
• Advanced knowledge of

  Database Management Systems

  and

  ETL/ELT processes

  .
• Expertise in

  data modeling

  ,

  data quality

  , and

  data governance

  .
• Proficiency in

  Python programming

  ,

  version control systems

  (Git), and

  data pipeline orchestration tools

  .
• Familiarity with

  AI/ML technologies

  and their application in data engineering.
• Strong problem-solving and analytical skills, with the ability to troubleshoot complex data issues.
• Excellent

  communication skills

  , with the ability to explain technical concepts to non-technical stakeholders.
• Ability to work independently, lead projects, and mentor junior team members.
• Commitment to staying current with emerging technologies, trends, and best practices in the data engineering domain.

Technology Stacks :

• Strong expertise in database technologies, including:

SQL Databases

NoSQL Databases

Data Warehouse/ Unified Platforms

• Hands-on experience implementing and working with

  generative AI tools and models

  in production workflows.
• Proficiency in

  Python

  and

  SQL

  , with experience in data processing frameworks
• (e.g., Pandas, PySpark).
• Experience with

  ETL tools

  (e.g., Apache Airflow, MS Fabric, Informatica, Talend) and

  data pipeline orchestration platforms

  .
• Strong understanding of

  data architecture

  ,

  data modeling

  , and

  data governance principles

  .
• Experience with

  cloud platforms

  (preferably

  Azure

  ) and associated data services.

Our EVP (Employee Value Proposition) :

• 5 Days working
• Total 24 Earned & Casual leaves and 8 public holidays
• Compensatory Off
• Personal Development Allowances
• Opportunity to work with USA clients
• Career progression and Learning & Development
• Loyalty Bonus Benefits
• Medical Reimbursement
• Standard Salary as per market norms
• Magnificent & Dynamic Culture