Senior Software Engineer (Data Engineering)

Data Engineer

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Experience:

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data.
• Optimize and manage SQL queries for performance and efficiency in large-scale datasets.
• Experience working with data warehouse solutions (e.g., Redshift, BigQuery, Snowflake) for analytics and reporting.
• Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
• Experience in Implementing solutions for streaming data (e.g., Apache Kafka, AWS Kinesis) is preferred but not mandatory.
• Ensure data quality, governance, and security across pipelines and storage systems.
• Document architectures, processes, and workflows for clarity and reproducibility.
  

Required Technical Skills

• Proficiency in Python for scripting, automation, and pipeline development.
• Expertise in SQL (complex queries, optimization, and database design).
• Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, dbt, AWS Glue).
• Experience working with structured data (RDBMS) and unstructured data (JSON, Parquet, Avro).
• Familiarity with cloud-based data warehouses (Redshift, BigQuery, Snowflake).
• Knowledge of version control systems (e.g., Git) and CI/CD practices.
  

Preferred Qualifications

• Experience with streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming).
• Exposure to cloud platforms (AWS, GCP, Azure) and their data services.
• Understanding of data modelling (dimensional, star schema) and optimization techniques.
  

Soft Skills

• Team player with a collaborative mindset and ability to mentor junior engineers.
• Strong stakeholder management skills to align technical solutions with business goals.
• Excellent communication skills to explain technical concepts to non-technical audiences.
• Proactive problem-solving and adaptability in fast-paced environments.