APN Consulting, Inc. is a progressive IT staffing and services company offering cutting-edge business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us.

Direct Client Requirement

Job Title - Data Engineer

Location - Remote

Employment Type - Full- time

Experience-

6+ years in data engineering, ETL/ELT, analytics engineering, data warehouse development, or big data pipelines; minimum 4 years on GCP cloud data platforms preferred.

Common Job description
- Strong SQL and Python.
- Data modelling, warehousing concepts, partitions, clustering, indexing, optimisation.
- ETL/ELT pipeline design and production support.
- Batch and streaming pipeline fundamentals.
- Orchestration using Airflow, Composer, Control-M, ADF, dbt, or equivalent.
- Big data processing using Spark, PySpark, Beam, Dataflow, Dataproc, Databricks, EMR, or equivalent.
- Cloud storage and data lake concepts.




- Data quality, reconciliation, schema validation, lineage, monitoring, and alerting.
- CI/CD for data pipelines and code versioning.
- Ability to explain scale scenarios, not just tool definitions.

Detailed Job description-

Generic Skills (Must Have)
- Python and advanced SQL.
- Data quality checks, reconciliation, alerting, retries, and backfills.
- Production pipeline monitoring and troubleshooting.

GCP Skills (Must Have)
- Mandatory : BigQuery: datasets, tables, views, partitioning, clustering, SQL optimisation, cost awareness.

Option 1: Dataflow / Apache Beam or equivalent streaming/batch framework.

Option 2 : Dataproc / PySpark or strong Spark experience.
- Pub/Sub or equivalent event streaming.
- Cloud Composer / Airflow DAG development.

Nice to have (Trainable)
- Dataform, dbt, CI/CD for data.
- BigQuery ML.
- Dataflow templates.
- Looker / LookML basics.
- Terraform for data infras

📌 Data Engineer (Noida)
🏢 APN Consulting
📍 Noida