Data Engineer

Role & responsibilities

Job Title: Data Engineer

Experience: 3 - 7 years

Location: Hybrid

Employment Type: Full-time

About the Role

We are looking for a Data Engineer who will play a key role in designing, building, and maintaining robust data pipelines that power our AI-based analytics and dashboarding solutions. The candidate should have a strong foundation in data modeling, ETL workflows, and cloud-based data infrastructure. Youll work closely with analysts, AI engineers, and business stakeholders to ensure data reliability, scalability, and performance across all projects.

Key Responsibilities

• Design, develop, and maintain data pipelines to collect, clean, and process structured and unstructured data from multiple sources (e.g., SQL, APIs, CSV, cloud databases).
• Implement efficient ETL/ELT workflows using modern data frameworks.
• Collaborate with the AI/ML, BI, and Product teams to define data needs and ensure availability of high-quality datasets.
• Develop and manage data models, schemas, and transformations for analytics use cases.
• Optimize performance of queries, pipelines, and data stores for scalability and cost efficiency.
• Ensure data quality, validation, and lineage tracking using QA or automated checks.
• Contribute to the design and implementation of data governance, documentation, and monitoring frameworks.
• Support data ingestion from third-party marketing platforms, analytics APIs, or campaign data systems.

Required Skills & Experience

• 24 years of experience in data engineering or related fields.
• Strong proficiency in Python (pandas, NumPy, PySpark preferred).
• Experience with SQL and at least one cloud data warehouse (Databricks, AWS Redshift, Google BigQuery, Snowflake, etc.).
• Hands-on experience with ETL tools or orchestration frameworks (Airflow, dbt, AWS Glue, etc.).
• Exposure to AI/ML pipelines or data for LLM applications is an advantage.
• Familiarity with data APIs, REST integrations, and data ingestion from SaaS tools.
• Understanding of data modeling, normalization, and schema design.
• Experience with Git-based version control and CI/CD pipelines for data workflows.
• Working knowledge of Power BI, Tableau, or Looker is a plus.

Preferred Qualifications

• Bachelors degree in Computer Science, Information Systems, Data Engineering, or related fields.
• Experience working in Agile or startup environments.
• Strong communication and problem-solving skills.
• Ability to work independently and take ownership of data reliability across multiple projects.