Senior Data Solutions Developer

1 week ago

Alwar, Rajasthan, India beBeeDataEngineering Full time US$ 1,00,000 - US$ 1,40,000
Job Description">

Practice: Data Engineering & AI

Location: Office (Pune / Mohali / Hyderabad)

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes to support downstream analytics and AI applications.
  • Collaborate with ML Engineers to integrate data solutions into machine learning models and workflows.
  • Work closely with clients to understand their data requirements and deliver tailored data solutions.
  • Ensure data quality, integrity, and security across all projects.
  • Optimize and manage data storage solutions in cloud environments (AWS, Azure, GCP).
  • Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.
  • Monitor the performance of data pipelines, identify bottlenecks or failures, and implement improvements to enhance efficiency and reliability.
  • Implement best practices for data engineering, including documentation, testing, and version control.
  • Troubleshoot and resolve data-related issues in a timely manner.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • 10+ years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL, Python, and other relevant programming languages.
  • Hands-on experience with Databricks and its ecosystem.
  • Familiarity with major cloud environments (AWS, Azure, GCP) and their data services.
  • Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.
  • Comfortable working with a variety of SQL, NoSQL and graph databases like PostgreSQL and MongoDB;
  • Knowledge of data integration tools.
  • Understanding of data modeling, data architecture, and database design.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
Required Skills & Qualifications">

Highly Desirable Skills:

  • Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI).
  • Familiarity with machine learning concepts and frameworks.
  • Experience working in a client-facing role.
Benefits">

Employee Benefits:

  • Career Growth: Opportunities for career advancement and professional development.
  • Challenging Projects: Work on innovative, cutting-edge projects that make a global impact.
  • Global Exposure: Collaborate with international teams and clients to broaden your professional network.
  • Flexible Work Arrangements: Support for work-life balance through flexible working conditions.
  • Comprehensive Benefits: Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.
  • Learning Opportunities- Great opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.
Our Culture">

Company Culture:

  • Collaborative Environment: Emphasizes teamwork, innovation, and knowledge sharing.
  • Inclusive Workplace: Values diversity and fosters an inclusive environment where all ideas are respected.
  • Continuous Learning: Encourages professional development through ongoing learning opportunities and certifications.

Core Values:

  • Integrity: Commitment to ethical practices and transparency in all business dealings.
  • Excellence: Strive for the highest standards in everything we do.
  • Client-Centric Approach: Focus on delivering the best solutions tailored to client needs.

Apply today and take the next step in your professional journey with our organization.

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