Job ID: INFIT002
Hiring / Immediate joiners
Databricks Engineer
Locations: Pune/Hyderabad(Hybrid)
Send Resume:
[email protected]/+91-XXXXXXXXXX
Job Description
Parameter
Databricks Engineer (5+ Years)
Databricks Engineer (3–4 Years)
Data QA Engineer (Modern Data Platform)
Experience
5+ Years
3–4 Years
3–7 Years
Location
Pune / Hyderabad
Pune / Hyderabad
Pune / Hyderabad
Work Model
Hybrid (3 Days WFO, 2 Days WFH)
Hybrid (3 Days WFO, 2 Days WFH)
Hybrid (3 Days WFO, 2 Days WFH)
Deployment
Immediate
Immediate
Immediate
Job Summary
Design, develop, and optimize scalable data engineering solutions using Databricks and Apache Spark.
Develop and maintain ETL/ELT pipelines and support enterprise data engineering initiatives using Databricks.
Validate Modern Data Platform implementations with a focus on Databricks and Snowflake through end-to-end data testing.
Key Responsibilities
- Design and develop ETL/ELT pipelines
- Build Spark applications (PySpark/Scala)
- Optimize Spark jobs
- Work with Delta Lake & Unity Catalog
- Integrate cloud data sources
- Ensure data quality and governance
- Develop ETL/ELT pipelines
- Build PySpark applications
- Write and optimize SQL queries
- Work with Delta Lake
- Monitor production pipelines
- Support data migration and transformations
- Validate ETL/ELT pipelines
- Perform source-to-target data validation
- Test business rules and transformations
- Validate Snowflake implementations
- Execute SQL-based testing
- Perform regression/integration testing
- Track defects using Jira
Mandatory Skills
- 5+ years Data Engineering experience
- Databricks
- Apache Spark (PySpark/Scala)
- Advanced SQL
- Delta Lake
- Azure/AWS Databricks
- Git & CI/CD
- Airflow/ADF
- 3–4 years Data Engineering experience
- Databricks
- PySpark
- SQL
- Delta Lake
- Azure/AWS Cloud
- Git & CI/CD
- 3–7 years Data QA/ETL Testing experience
- SQL
- Databricks Testing
- Snowflake Validation
- ETL/ELT Testing
- Data Reconciliation
- Jira
Preferred Skills
Snowflake, Azure Data Factory, AWS Glue, DevOps, Agile
Snowflake, Azure Data Factory, Airflow, Data Lake Concepts
PySpark, Azure Data Factory, Airflow, Test Automation, Agile
Benefits
Here are some of the perks of being a part of Inforizon
Better Salary
W offer competitive salaries to keep our employees motivated and keep a sense of unity within our company.
Flexibility
Inforizon offer flexible work hours or remote work options, allowing employees to achieve a better work-life balance.
Growth opportunities
Inforizon invest in our employees' professional growth by providing training, education, and career opportunities.
Recognition
We offer Performance bonuses and extra financial rewards based on individual and teams achievements.
Technology
We help up-to-date tools and technology needed for the job. Equipment and software to facilitate remote work.
📌 Databricks Engineer (Kerala)
🏢 Inforizon
📍 Kerala