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Databricks Developer

Technology
Eagle Eye Technologies
Dallas, United States1 months agoUntil 5/20/2026
Contract

Job description

Quick Interview

Hello,

Hope you’re doing well.

My name is Lahari from Eagle Eye Technologies. We have a Databricks Developer With Data Engineer EXP at Dallas, TX (ONSITE)

Role: Senior Databricks Developer / Data Engineer

Experience Level: Senior (11 years in Data Engineering)

Location: Local to Plano, Irving, or Dallas, TX for face-to-face (F2F) .One Round interview.

Client : AT&T

Must-Have Skills:

Strong hands-on experience with Databricks (PySpark / Spark SQL)

Proven experience migrating legacy ETL/data warehouse workloads into Databricks

Experience implementing Change Data Capture (CDC) pipelines

Experience building data engineering pipelines using Spark

Experience creating and managing Databricks jobs, workflows, and scheduling

Experience with pipeline orchestration tools (Databricks Workflows, Airflow, Azure Data Factory, etc.)

Strong SQL and Python programming skills

Experience working with large-scale data sets and distributed data processing

Migration Experience (Very Important)

The candidate should have real project experience migrating existing data platforms or ETL pipelines into Databricks, such as migrations from:

Informatica / SSIS / Talend

Teradata / Oracle / Netezza

Hadoop or legacy data warehouse environments

They should understand how to convert legacy ETL logic into Spark-based transformations and Delta Lake pipelines.

Preferred Skills

Experience working with Delta Lake / Lakehouse architecture

Familiarity with CDC tools and streaming technologies (Kafka, Debezium, SQL CDC, etc.)

Experience with Azure Databricks ecosystem (ADLS, Azure Data Factory) or similar cloud environments

Experience implementing incremental ingestion frameworks and data validation

Candidate Profile

We are specifically looking for candidates who have hands-on experience delivering Databricks migration projects, not just maintaining existing pipelines.

Ideal candidates should be comfortable:

Designing scalable data pipelines

Migrating legacy ETL workflows to Databricks

Implementing CDC-based ingestion patterns

  • Building and orchestrating production-grade Databricks jobs

Please prioritize candidates who can clearly describe their role in Databricks migration projects.

Thank you,

Lahari Kallepalli

Senior US IT Technical Recruiter

Email:

Mobile:

Ext. 104

| website:

Keywords
OrchestrationApache KafkaApache HadoopApache SparkEagleOracle DatabaseAirflowPythonSqlHadoopPicasa

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