Posted 23 July, 2026
Data Engineer
APN Consulting Inc
Noida, Uttar Pradesh, IN
Full Time
Reference: 26-11250-102-1
APN Consulting, Inc. is a progressive IT staffing and services company offering innovative 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
Generic Skills (Must Have)
Option 2 : Dataproc / PySpark or strong Spark experience.
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.
Generic Skills (Must Have)
- Python and advanced SQL.
- Data quality checks, reconciliation, alerting, retries, and backfills.
- Production pipeline monitoring and troubleshooting.
- Mandatory : BigQuery: datasets, tables, views, partitioning, clustering, SQL optimisation, cost awareness.
Option 2 : Dataproc / PySpark or strong Spark experience.
- Pub/Sub or equivalent event streaming.
- Cloud Composer / Airflow DAG development.
- Dataform, dbt, CI/CD for data.
- BigQuery ML.
- Dataflow templates.
- Looker / LookML basics.
- Terraform for data infrastructure.