Job Summary:
We are looking for an experienced Senior Data Engineer with 8–12 years of hands-on experience in designing, building, and maintaining scalable data platforms.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT data pipelines
Build and optimize data warehouses and data lakes
Work with large, complex datasets across multiple data sources
Ensure data quality, reliability, security, and performance
Optimize SQL queries and data models for performance and cost
Collaborate with data analysts, data scientists, and product teams
Implement data orchestration and monitoring using tools like Airflow/Prefect
Apply best practices for data modeling (star/snowflake schemas)
Support real-time and batch data processing solutions
Mentor junior data engineers and contribute to architectural decisions
Participate in code reviews and enforce engineering standards
Qualifications:
8+ years of overall IT experience
Experience with any public cloud (Google,AWS,Azure)
Knowledge of Docker and Kubernetes
Experience with data governance, security, and compliance
Exposure to real-time analytics or event-driven architectures
Prior experience leading or mentoring teams
Strong analytical and troubleshooting skills with the ability to anticipate and resolve complex challenges.
8–10 years of experience in data engineering or related roles
Strong proficiency in SQL and Python (Scala/Java is a plus)
Hands-on experience with cloud platforms (AWS / GCP / Azure)
Experience with data warehouses (Snowflake, BigQuery, Redshift, Synapse)
Experience with big data technologies (Spark, Hadoop)
Familiarity with streaming platforms (Kafka, Kinesis, Pub/Sub)
Experience with workflow orchestration tools (Airflow, Prefect, Dagster)
Strong understanding of data modeling and database design
Experience with CI/CD, version control (Git), and DevOps practices
Excellent problem-solving and communication skills
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Full Time