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Senior Data Engineer

Insight Globalthane, maharashtra, in

7 days ago

Job description

Summary

The Senior Data Engineer is responsible for building and optimizing ETL / ELT pipelines that process terabytes of data daily across 186 data assets, implementing BigQuery datasets with enterprise-scale performance optimization, and creating the data quality monitoring and transparency dashboards that enable data owner self-service.

Required Qualifications

Google Cloud Platform Data Engineering

5+ years of data engineering experience with at least 2+ years focused on Google Cloud Platform
Strong proficiency with BigQuery including :
Advanced SQL for analytical queries (window functions, CTEs, complex joins)
Partitioning and clustering strategies for performance optimization
Materialized views, authorized views, and query optimization techniques
Cost optimization through efficient query design and storage management
Understanding of BigQuery architecture (slot allocation, shuffle operations, distributed execution)
Hands-on experience with Google Cloud Dataflow and Apache Beam :
Pipeline development in Python or Java
Batch and streaming data processing patterns
Performance tuning and resource optimization
Error handling and pipeline monitoring
Proficiency with Cloud Composer (Apache Airflow) :
DAG development and dependency management
Airflow operators (BigQueryOperator, DataflowOperator, custom operators)
Workflow orchestration for complex multi-step processes
Monitoring and troubleshooting failed workflows

ETL / ELT & Data Integration

Strong experience building production-grade ETL / ELT pipelines processing terabyte-scale data

Knowledge of data integration patterns (full refresh, incremental load, change data capture)

Experience with data transformation techniques (normalization, denormalization, aggregation)

Understanding of data quality frameworks and validation strategies

Proficiency with schema evolution handling changes without breaking downstream systems

Experience with data lineage tracking from source to consumption

SQL & Database Technologies

Expert-level SQL skills including advanced analytics functions and query optimization

Understanding of database performance tuning (indexing, partitioning, query plans)

Experience with relational databases (PostgreSQL, MySQL, SQL Server) for source system integration

Familiarity with NoSQL databases (Firestore, Bigtable) for specialized use cases

Knowledge of data warehousing concepts (fact tables, dimension tables, slowly changing dimensions)

Programming & Scripting

Strong Python proficiency for data pipeline development and scripting

Experience with Apache Beam SDK for Dataflow pipeline development

Proficiency with Pandas, NumPy for data manipulation and analysis

Understanding of object-oriented programming and software engineering best practices

Experience with Git for version control and collaborative development

Basic Shell scripting for automation and operational tasks

Data Security & Compliance

Understanding of row-level security implementation patterns in BigQuery

Experience with PHI / PII data handling and healthcare compliance requirements (HIPAA preferred)

Knowledge of data masking and de-identification techniques

Understanding of audit logging and compliance reporting requirements

Familiarity with least privilege principles and data access controls

Preferred Qualifications

Google Cloud Professional Data Engineer certification

Healthcare industry experience with understanding of clinical and administrative data

Experience with Google Cloud Storage lifecycle policies and storage class optimization

Knowledge of Cloud Spanner for transactional workloads

Familiarity with Cloud DLP API for automated data classification

Experience with dbt (data build tool) for analytics engineering

Understanding of data mesh or data fabric architectural patterns

Background in DevOps practices and CI / CD for data pipelines

Experience with Terraform for infrastructure as code

Knowledge of data visualization tools (Looker, Tableau, Power BI)

Familiarity with machine learning workflows on GCP (Vertex AI)

Experience with Docker and Kubernetes (GKE) for containerized workloads

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Senior Data Engineer • thane, maharashtra, in

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