Data Engineer

Data Engineer

Key Responsibilities

• Design, build, and maintain

  ETL/ELT pipelines

  to collect, transform, and load data from multiple sources.
• Develop and optimize

  data warehouses, data lakes, and data models

  for scalability and efficiency.
• Ensure data quality, governance, and security across platforms.
• Collaborate with

  data analysts, scientists, and business stakeholders

  to deliver data-driven solutions.
• Monitor and troubleshoot pipeline performance, ensuring high availability and reliability.
• Implement

  automation and best practices

  for data integration and workflow management.
• Stay updated on emerging tools, technologies, and industry best practices in data engineering.

Key Requirements

• Bachelor’s/Master’s degree in

  Computer Science, Engineering, or related field

  .

• 3–7 years of experience

  in data engineering or related roles.
• Strong programming skills in

  Python, Java, or Scala

  .
• Expertise with

  SQL and database technologies

  (PostgreSQL, MySQL, NoSQL, etc.).
• Hands-on experience with

  big data frameworks

  (Hadoop, Spark, Kafka, etc.).
• Familiarity with

  cloud platforms

  (AWS, GCP, Azure) and data services (Redshift, BigQuery, Snowflake, Databricks, etc.).
• Experience with

  workflow orchestration tools

  (Airflow, Prefect, Luigi) is a plus.
• Knowledge of

  data security, governance, and compliance best practices

  .
• Strong problem-solving, debugging, and collaboration skills.