Data Engineer

5 days ago

Noida, Uttar Pradesh, India QUARKS TECHNOSOFT PRIVATE LIMITED Full time

Job Title : Data Engineer EDW (Enterprise Data Warehouse)

Locations : Bangalore / Noida / Pune

Experience : 6 to 10 years

Employment Type : Full-time

Notice Period : Immediate to 30 days preferred

Role Overview :

We are hiring a Data Engineer EDW with strong expertise in Enterprise Data Warehousing, ETL pipeline design, data migration, integration, and advanced SQL/Python development. You will be responsible for building and maintaining scalable data pipelines and supporting strategic data initiatives across enterprise systems.

Key Responsibilities :

- Design, build, and optimize ETL/ELT pipelines for large-scale enterprise data warehouses (EDW)

- Migrate and integrate data from legacy systems, flat files, RDBMS, APIs, and cloud-based platforms

- Develop and maintain data pipelines using tools such as Informatica, Talend, Airflow, DBT, or custom Python scripts

- Write complex and optimized SQL queries, stored procedures, and views for reporting and analytics

- Work closely with business analysts, data modelers, and BI teams to deliver trusted data

- Maintain data accuracy, quality, integrity, and performance in all ETL jobs

- Collaborate with cloud teams to deploy EDW solutions in AWS, Azure, or GCP environments

- Monitor and troubleshoot ETL jobs and data issues using best practices and logging frameworks

- Adhere to data governance, privacy, and security compliance frameworks (GDPR, HIPAA, Skills:

- 610 years of experience as a Data Engineer or EDW Developer

- Strong expertise in SQL (T-SQL/PL-SQL) and Python for data transformation and automation

- Hands-on experience with ETL tools: Informatica, Talend, or custom solutions using Python

- Deep understanding of data warehousing principles (Kimball/Inmon, SCDs, star/snowflake schemas)

- Proven experience in data migration projects and data integration from diverse sources

- Experience working with enterprise-scale data in relational DBs (Teradata, Oracle, SQL Server)

- Familiarity with cloud-based data warehousing (Snowflake, Redshift, BigQuery) is a strong plus

- Experience with data partitioning, indexing, query optimization, and large-volume data processing

- Strong debugging, performance tuning, and log analysis skills

Nice to Have :

- Experience with data orchestration tools (Airflow, Azure Data Factory, AWS Glue)

- Exposure to streaming data platforms (Kafka, Kinesis, Pub/Sub)

- Knowledge of data lake architectures (Delta Lake, Iceberg, Hive)

- Familiarity with DevOps practices, Git, and CI/CD pipelines for data

(ref:hirist.tech)

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