🏢 Company Overview:
LS Digital Group is a leading digital marketing and technology transformation company that helps brands grow through data-driven insights, innovation, and automation. With a focus on integrating marketing, analytics, and technology, LS Digital empowers businesses to make smarter decisions and achieve measurable success in the digital space.
💼 Job Details:
- Employment type: Full Time
- Experience: 2 to 3 Years
- Salary: ₹13,000 – ₹33,000 monthly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
LS Digital Group is looking for an experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate should have a strong background in big data technologies, ETL processes, and cloud-based data engineering tools. You’ll play a key role in ensuring that data is clean, reliable, and efficiently processed for analytics and decision-making purposes.
🔑 Key Responsibilities:
- Design, develop, and maintain robust data pipelines and ETL workflows
- Build scalable data infrastructure to support analytics and reporting needs
- Work with large-scale structured and unstructured datasets
- Optimize data processing performance and ensure data accuracy
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
- Implement best practices for data governance, quality, and security
- Monitor and troubleshoot data workflows to ensure reliability and uptime
🛠️ Required Skills & Qualifications:
- Strong proficiency in SQL, Python, and ETL tools
- Experience with Big Data technologies such as Spark, Hadoop, or Kafka
- Hands-on experience with cloud platforms (AWS, Azure, or GCP)
- Knowledge of data warehousing concepts (Redshift, Snowflake, BigQuery, etc.)
- Familiarity with Airflow or similar orchestration tools
- Solid understanding of data modeling, schema design, and API integrations
- Excellent analytical, problem-solving, and communication skills
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
🌟 Benefits:
- Opportunity to work with leading global clients
- Collaborative and innovative work culture
- Exposure to cutting-edge data technologies
- Career advancement and continuous learning support
- Flexible working arrangements
