Role: Data Engineer with Databricks, SQL
Mode of work: 100% Remote
Duration: Long Term
Experience: 12+ Years
Submission Details
Full Legal Name
Contact Number
Email ID
LinkedIn
Current Location
This position is a Remote role but Candidate need to visit client location occasionally to Dallas, TX
Full Education Details
Full Data of Birth (Full DOB)
On which visa came to US
In which year came to US
Work Authorization
Total IT Experience
US Experience
Notice Period
Have you previously submitted to the KNITT Global?
Rate
Mandatory Skills
Min Experience Required
How Many Years Does Candidate Have
In which project you have worked (Name of client clients)
Total IT Experience
12+ years
Data Engineer
7-9
Databricks with Python & Scala
7-8
SQL development (complex queries, performance tuning, stored procedures).
5-6
ETL processing
5-6
Cloud data platforms (Azure/AWS/GCP) is a plus.
7-8
Databricks or cloud certifications (SQL, Databricks, Azure Data Engineer) are a strong plus.
About The Job
Job Summary:
We're looking for a skilled Data Engineer with strong expertise in Databricks and SQL to join our data
analytics team. You will work as part of a cross-functional team to design, build, and optimize data
pipelines, frameworks, and warehouses to support business-critical analytics and reporting. The role
requires deep-on experience in SQL-based transformations, Databricks, and modern data engineering
practices.
Experience
6+ years of relevant experience or equivalent education in ETL processing/data engineering or related field.
4+ years of experience with SQL development (complex queries, performance tuning, stored procedures).
3+ years of experience building data pipelines on Databricks (Python/Scala).
Exposure to cloud data platforms (Azure/AWS/GCP) is a plus.
Roles & Responsibilities
Design, develop, and maintain data pipelines and ETL processes using Databricks and SQL.
Write optimized SQL queries for data extraction, transformation, and loading across large-scale datasets.
Monitor, validate, and optimize data movement, cleansing, normalization, and updating processes to ensure data quality, consistency, and reliability.
Collaborate with business and analytics teams to define data models, schemas, and frameworks within the data warehouse.
Document source-to-target mapping and transformation logic.
Build data frameworks and visualizations to support analytics and reporting.
Ensure compliance with data governance, security, and regulatory standards.
Communicate effectively with internal and external stakeholders to understand and deliver on data needs.
Qualifications & Experience
Bachelor's degree in Computer Science, Data Engineering, or related field.
6+ years of hands-on experience in ETL/data engineering.
Strong SQL development experience (query optimization, indexing strategies, stored procedures).
3+ years of Databricks experience with Python/Scala.
Experience With Cloud Platforms (Azure/AWS/GCP) Preferred.
Databricks or cloud certifications (SQL, Databricks, Azure Data Engineer) are a strong plus.
