Infrastructure Engineer

APM Terminals

4 - 7 years

7 - 11 Lacs

pune bengaluru

Posted:20 hours ago| Platform:

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Skills Required

supply chain performance tuning automation windows distribution system operations sql python logistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Ingest the world: Design and maintain ingestion frameworks for high-volume, structured and unstructured data-from operational systems, APIs, file drops, and events. Support streaming and batch use cases across latency windows.
Transform at scale: Develop transformation logic using SQL , Python , Spark , and modern declarative tools like dbt or sqlmesh . you'll handle deduplication, windowing, watermarking, late-arriving data, and more.
Curate for trust: Collaborate with domain teams to annotate datasets with metadata , ownership , PII classification , and usage lineage . Enforce naming standards, partitioning schemes, and schema evolution policies.
Optimize for the lakehouse: Work within a modern lakehouse architecture -leveraging Delta Lake , S3 , Glue , and EMR -to ensure scalable performance and queryability across real-time and historical views.
Build for observability: Instrument your pipelines with quality checks, cost visibility, and lineage hooks. Integrate with OpenMetadata , Prometheus , or OpenLineage to ensure platform reliability and traceability.
Enable production-readiness: Support deployment workflows via GitHub Actions , Terraform , and IaC patterns . Your code will be versioned, testable, and safe for multi-tenant deployments.
Think platform-first: Everything you build should be reusable. you'll help codify data engineering standards, create scaffolding for onboarding new datasets, and drive automation over repetition.

What we're Looking For

Strong foundation in data engineering: You know your way around distributed systems , columnar storage formats (Parquet, Avro) , data lake performance tuning , and schema evolution .
Hands-on cloud experience: you've worked with AWS-native services like Glue , EMR , Athena , Lambda , and object storage (S3). Bonus if you've used Databricks , Snowflake , or Trino .
Modern engineering practices: Familiarity with GitOps , containerized workflows (Docker, K8s) , and CI/CD pipelines for data workflows. Experience with Terraform and IaC is highly valued.
Programming proficiency: Fluency in Python and SQL is a must. Bonus if you've worked with Scala , Jinja-templated SQL , or DSL-based modeling frameworks like dbt/sqlmesh.
Curiosity and systems thinking: You understand the tradeoffs between batch vs streaming, structured vs unstructured, cost vs latency-and you ask why before you build.
Collaboration skills: you'll work closely with ML engineers, platform architects, security teams, and domain data owners. Ability to communicate clearly and write clean, documented code is key.

What Makes This Role Special

Impact at global scale: Your work will influence container journeys, terminal operations, vessel routing, and sustainability metrics across 130+ countries and $4T+ in global trade.
Platform-level thinking: you're not just solving one use case-you're building primitives for others to reuse. This is your chance to shape a high-leverage internal data platform.
Freedom to experiment: We don t believe in checkbox engineering. you'll have space to challenge the status quo, propose better tooling, and refine the foundations of our platform stack.
Career-defining scope: Greenfield. Executive visibility. Cross-domain exposure. This is not a maintenance role-it s about creating the next chapter in Maersk s data journey.

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