Senior Data Engineer Job Summary We are seeking a highly experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have deep expertise in data engineering, strong problem-solving skills, and experience working with large-scale distributed systems. You will play a key role in enabling data-driven decision-making across the organization.
Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines
Build and optimize data architectures, data lakes, and data warehouses
Ensure data quality, integrity, and reliability across systems
Work with cross-functional teams including Data Scientists, Analysts, and Product teams
Optimize performance of large-scale data processing systems
Implement real-time and batch data processing solutions
Develop and enforce data governance and security policies
Mentor junior and mid-level data engineers
Stay updated with latest data engineering tools and technologies
Required Skills & Qualifications 12+ years of experience in Data Engineering / Big Data
Strong expertise in SQL and Python/Scala/Java
Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Hive)
Experience with ETL tools and data pipeline frameworks
Strong knowledge of data warehousing concepts (Snowflake, Redshift, BigQuery, etc.)
Experience with cloud platforms (AWS / Azure / Google Cloud Platform)
Proficiency in data modeling techniques
Experience with workflow orchestration tools (Airflow, Luigi, etc.)
Understanding of streaming technologies (Kafka, Flink, etc.)
Strong problem-solving and analytical skills
Preferred Qualifications Experience with DevOps practices and CI/CD pipelines
Knowledge of containerization (Docker, Kubernetes)
Experience in real-time analytics and data streaming
Exposure to machine learning data pipelines
Certification in cloud platforms (AWS/Azure/Google Cloud Platform)
Soft Skills Strong communication and leadership skills
Ability to work in a fast-paced, collaborative environment
Strategic thinking and decision-making ability
Mentoring and team leadership experience
Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines
Build and optimize data architectures, data lakes, and data warehouses
Ensure data quality, integrity, and reliability across systems
Work with cross-functional teams including Data Scientists, Analysts, and Product teams
Optimize performance of large-scale data processing systems
Implement real-time and batch data processing solutions
Develop and enforce data governance and security policies
Mentor junior and mid-level data engineers
Stay updated with latest data engineering tools and technologies
Required Skills & Qualifications 12+ years of experience in Data Engineering / Big Data
Strong expertise in SQL and Python/Scala/Java
Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Hive)
Experience with ETL tools and data pipeline frameworks
Strong knowledge of data warehousing concepts (Snowflake, Redshift, BigQuery, etc.)
Experience with cloud platforms (AWS / Azure / Google Cloud Platform)
Proficiency in data modeling techniques
Experience with workflow orchestration tools (Airflow, Luigi, etc.)
Understanding of streaming technologies (Kafka, Flink, etc.)
Strong problem-solving and analytical skills
Preferred Qualifications Experience with DevOps practices and CI/CD pipelines
Knowledge of containerization (Docker, Kubernetes)
Experience in real-time analytics and data streaming
Exposure to machine learning data pipelines
Certification in cloud platforms (AWS/Azure/Google Cloud Platform)
Soft Skills Strong communication and leadership skills
Ability to work in a fast-paced, collaborative environment
Strategic thinking and decision-making ability
Mentoring and team leadership experience
Job ID: 523031761
Originally Posted on: 5/30/2026
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