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Pune · On-site · 1-3 Yrs · Oct 18
1 views
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
We empower enterprises globally through intelligent, creative, and insightful services for data integration, data analytics and data visualization.
Responsibilities
- Senior Developer — GCP Data Engineering
- Configuring and operating Google Cloud Datastream streams (one-time load + CDC) for PostgreSQL (Cloud SQL) and/or MongoDB Atlas sources into BigQuery
- Writing and maintaining Cloud Composer (Airflow) DAGs for scheduled/micro-batch ingestion, using parameterised/templated patterns
- Converting PySpark batch jobs to BigQuery SQL — using BQ-native Spark-to-SQL conversion utilities for standard jobs, and manually re-implementing complex UDFs/window functions where required
- Writing BigQuery SQL for Bronze/Silver/Gold transformations: cleansing, deduplication (via BQ Data Engineering Agent or SQL), and materialized view definitions
- Implementing Dataflow (Apache Beam) jobs to flatten nested MongoDB documents into BigQuery tables, handling document schema variability (SAFE/COALESCE patterns)
- Configuring BigQuery native features: column-level PII masking policies, scheduled exports to GCS (including Iceberg format), and basic Cloud Monitoring/Audit Logging setup
- Reconfiguring BI tool connectors (e.g., Metabase JDBC connector switch from ClickHouse to BigQuery) and validating report output
- Writing automated reconciliation scripts (row-count, checksum comparisons between source and BigQuery)
- Exposure to ClickHouse (reading schemas/data for migration purposes — not requiring ClickHouse admin expertise)
- Shell scripting / Python for automation glue (recon scripts, batch reconfiguration helpers)
- Git-based version control and CI basics for pipeline code
- Awareness of data security/compliance concepts (PII handling, audit logging) sufficient to implement to spec
- Configuring and operating Google Cloud Datastream streams (one-time load + CDC) for PostgreSQL (Cloud SQL) and/or MongoDB Atlas sources into BigQuery
- Writing and maintaining Cloud Composer (Airflow) DAGs for scheduled/micro-batch ingestion, using parameterised/templated patterns
- Converting PySpark batch jobs to BigQuery SQL — using BQ-native Spark-to-SQL conversion utilities for standard jobs, and manually re-implementing complex UDFs/window functions where required
- Writing BigQuery SQL for Bronze/Silver/Gold transformations: cleansing, deduplication (via BQ Data Engineering Agent or SQL), and materialized view definitions
- Implementing Dataflow (Apache Beam) jobs to flatten nested MongoDB documents into BigQuery tables, handling document schema variability (SAFE/COALESCE patterns)
- Configuring BigQuery native features: column-level PII masking policies, scheduled exports to GCS (including Iceberg format), and basic Cloud Monitoring/Audit Logging setup
- Reconfiguring BI tool connectors (e.g., Metabase JDBC connector switch from ClickHouse to BigQuery) and validating report output
- Writing automated reconciliation scripts (row-count, checksum comparisons between source and BigQuery)
- Exposure to ClickHouse (reading schemas/data for migration purposes — not requiring ClickHouse admin expertise)
- Shell scripting / Python for automation glue (recon scripts, batch reconfiguration helpers)
- Git-based version control and CI basics for pipeline code
- Awareness of data security/compliance concepts (PII handling, audit logging) sufficient to implement to spec
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Developer — GCP Data Engineering at HoonarTek?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. HoonarTek may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Developer — GCP Data Engineering role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Developer — GCP Data Engineering remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Developer — GCP Data Engineering role at HoonarTek?
- This is a mid-level Developer — GCP Data Engineering role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.