Senior Data Engineer

3 days ago

Lahore, Punjab, Pakistan Seanode Full time

We're looking for a Senior Data Engineer with strong experience in building, scaling, and optimizing large-scale data pipelines to support high-performance AI systems. You'll be responsible for designing and maintaining data infrastructure that ingests, transforms, and serves data at terabyte-scale (10TB+ per source) across multiple domains.

You will work closely with our AI/ML team to ensure they have reliable, clean, and performant data to train and deploy machine learning models. You should be a problem-solver who understands the importance of resilient data systems and can thrive in a high-scale, fast-paced environment.

Key Responsibilities

- Design, implement, and maintain high-throughput data pipelines that process large volumes of structured and unstructured data (10TB+ per source).

- Develop scalable and fault-tolerant ETL/ELT workflows using best practices for data quality, partitioning, and reprocessing.

- Collaborate with AI and Data Science teams to understand data requirements and deliver highly available and query-optimized datasets.

- Optimize data processing performance using techniques such as file format tuning (e.g., Parquet/ORC), indexing, column pruning, partitioning, and resource-aware scheduling.

- Build monitoring and alerting around pipelines to ensure robustness under load and prevent data quality regressions or pipeline failures.

- Implement data versioning, lineage tracking, and governance to ensure transparency and reproducibility.

- Work with infrastructure engineers to fine-tune cluster performance, autoscaling, and data storage costs.

- Contribute to evolving the data platform's architecture to support new business use cases and improve scalability.

Must-Have Skills & Tools

- Programming Languages: Python, SQL, (Java/Scala is a plus)

- Cloud Platforms: AWS (preferred), GCP or Azure

- Experience with services like S3, EMR, Glue, Redshift, Athena or equivalents

- Data Warehouses & Lakes: Snowflake, BigQuery, Databricks, or similar

- Streaming/Data Ingestion: Kafka, Kinesis, Apache Flink (nice to have)

- Strong experience in pipeline performance optimization and debugging under large data loads

- Deep understanding of data partitioning strategies, backfilling, deduplication, and error handling

Nice-to-Have

- Experience supporting machine learning pipelines and feature stores

- Knowledge of data governance, compliance, and anonymization techniques

- Familiarity with containerization (Docker) and orchestration (Kubernetes)

What We Offer

- Work on cutting-edge AI data systems that directly impact product innovation

- Collaborate with a passionate and technically deep team

- Flexible remote work options

- Competitive compensation and benefits

- Opportunity to influence infrastructure decisions at scale

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionInformation Technology
  • IndustriesTechnology, Information and Internet

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