Data Engineer

Job Description

Job Summary We are seeking an experienced and highly skilled Senior Data Engineer to design, build, and maintain robust, scalable data infrastructure. You will play a key role in architecting data solutions, optimizing pipelines, ensuring data quality, and enabling data-driven decision-making across the organization. This role is ideal for someone who is passionate about data engineering, has strong problem-solving abilities, and can mentor junior team members while collaborating with cross-functional teams. Key Responsibilities Design and implement scalable and reliable data pipelines (batch and streaming) using technologies such as Spark, Kafka, and Airflow. Architect and maintain data warehouse/lakehouse solutions (e.g., Snowflake, BigQuery, Redshift, or Databricks). Build ETL/ELT workflows to ingest, transform, and validate data from various internal and external sources. Collaborate with data scientists, analysts, and software engineers to ensure data needs are met efficiently and securely. Optimize database performance and data workflows for reliability and low latency. Ensure data quality, governance, lineage, and security through best practices and tooling. Mentor junior engineers and contribute to engineering best practices, code reviews, and process improvements. Work with DevOps or Platform teams to automate deployment, monitoring, and alerting of data infrastructure. Maintain documentation of data architecture, systems, and processes. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field. 7+ years of experience in Data Engineering or a related role. Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java. Deep experience with data pipeline orchestration tools (e.g., Apache Airflow, Luigi, dbt). Hands-on experience with cloud platforms like AWS, GCP, or Azure, particularly with services like S3, Lambda, EMR, Glue, BigQuery, or Snowflake. Solid understanding of data modeling, data warehousing, and distributed computing systems (e.g., Hadoop, Spark). Experience with CI/CD practices and tools (e.g., GitHub Actions, Jenkins, Terraform). Strong understanding of data governance, including data privacy, compliance, and security best practices. Show more Show less