Senior Data Engineer

What You'll Do

We are seeking an experienced Lead Data Engineer with experience in the Data Engineering. We are looking for a background in ETL processes, data warehousing, data modeling, and hands-on expertise in SQL and Python. The ideal candidate will have exposure to cloud technologies and will play a key role in designing and managing scalable, high-performance data systems that support marketing and sales insights.

You will report to Manager- Data engineering

What Your Responsibilities Will Be

• You will Design, develop, and maintain efficient ETL pipelines using DBT,Airflow to move and transform data from multiple sources into a data warehouse.
• You will Lead the development and optimization of data models (e.g., star, snowflake schemas) and data structures to support reporting.
• You will Leverage cloud platforms (e.g., AWS, Azure, Google Cloud) to manage and scale data storage, processing, and transformation processes.
• You will Work with business teams, marketing, and sales departments to understand data requirements and translate them into actionable insights and efficient data structures.
• You will Use advanced SQL and Python skills to query, manipulate, and transform data for multiple use cases and reporting needs.
• You will Implement data quality checks and ensure that the data adheres to governance best practices, maintaining consistency and integrity across datasets.
• You will Experience using Git for version control and collaborating on data engineering projects.

What You'll Need to be Successful

• Bachelor's degree with 6+ years of experience in Data Engineering.

• ETL/ELT Expertise

  : experience in building, improving ETL/ELT processes.

• Data Modeling

  : experience with designing and implementing data models such as star and snowflake schemas, and working with denormalized tables to optimize reporting performance.
• Experience with cloud-based data platforms (AWS, Azure, Google Cloud)

• SQL and Python Proficiency

  : Advanced SQL skills for querying large datasets and Python for automation, data processing, and integration tasks.

• DBT Experience

  : Hands-on experience with DBT (Data Build Tool) for transforming and managing data models.

Good to have Skills:

• Familiarity with AI concepts such as machine learning (ML), (NLP), and generative AI. Work with AI-driven tools and models for data analysis, reporting, and automation.
• Oversee and implement DBT models to improve the data transformation process.
• Experience in the marketing and sales domain, with lead management, marketing analytics, and sales data integration.
• Familiarity with business intelligence reporting tools, Power BI, for building data models and generating insights.