Databricks Python Developer

Tata Consultancy Services Limited; Jersey City (NJ); On-site; USD 100,000 - 115,000; Full time

Job summary

Tata Consultancy Services Limited in Jersey City, NJ seeks a senior Data Engineer to design, build, and maintain large-scale data pipelines using Databricks, Python, and PySpark. The role requires deep experience with ETL/ELT, data modeling, and data quality across diverse data sources.

You'll collaborate with data architects and business stakeholders, optimize Spark jobs, ensure governance, and participate in Agile ceremonies. Strong SQL, communication, and problem-solving are essential.

Qualifications

• 10+ years of experience in Data Engineering, Data Warehousing, or Big Data development.
• 5+ years of hands-on experience with Databricks, Python, and PySpark.
• Strong hands-on experience in Databricks, Python, and PySpark development.
• Experience building and supporting large-scale ETL/ELT data pipelines.
• Strong knowledge of Spark SQL, Delta Lake, and Data Lakehouse architecture.
• Experience working with structured and unstructured data from multiple sources.
• Strong SQL skills and experience with relational databases.
• Experience with data modeling, data transformation, and data quality processes.
• Knowledge of orchestration tools such as Airflow, ADF, or similar.
• Experience with Git, CI/CD, and Agile development methodologies.
• Strong analytical, debugging, and performance tuning skills.
• Excellent verbal and written communication skills.

Responsibilities

• Design, develop, and maintain data pipelines using Databricks, Python, and PySpark.
• Build scalable data ingestion, transformation, and integration solutions.
• Collaborate with Data Architects, Analysts, and business teams to deliver data solutions.
• Develop and optimize batch and real-time data processing workflows.
• Ensure data quality, integrity, security, and governance standards are met.
• Monitor, troubleshoot, and resolve production data pipeline issues.
• Optimize Spark jobs, SQL queries, and Databricks workloads for performance.
• Participate in data modeling, code reviews, and platform enhancement activities.
• Create technical documentation and support production deployments.
• Participate in Agile ceremonies and contribute to continuous improvement initiatives.

Skills

Databricks

Python

PySpark

SQL

Data modeling

Data quality

Airflow

ADF

Git

CI/CD

Agile

Spark SQL

Delta Lake

Data Lakehouse

ETL/ELT

Data pipelines

Communication

Tools

Databricks

Python

PySpark

Spark SQL

Delta Lake

Airflow

ADF

Git

CI/CD

Job description

Must Have Technical/Functional Skills

• 10+ years of experience in Data Engineering, Data Warehousing, or Big Data development.


• 5+ years of hands-on experience with Databricks, Python, and PySpark.


• Strong hands-on experience in Databricks, Python, and PySpark development.


• Experience building and supporting large-scale ETL/ELT data pipelines.


• Strong knowledge of Spark SQL, Delta Lake, and Data Lakehouse architecture.


• Experience working with structured and unstructured data from multiple sources.


• Strong SQL skills and experience with relational databases.


• Experience with data modeling, data transformation, and data quality processes.


• Knowledge of orchestration tools such as Airflow, ADF, or similar.


• Experience with Git, CI/CD, and Agile development methodologies.


• Strong analytical, debugging, and performance tuning skills.


• Excellent verbal and written communication skills.

Roles Responsibilities

• Design, develop, and maintain data pipelines using Databricks, Python, and PySpark.


• Build scalable data ingestion, transformation, and integration solutions.


• Collaborate with Data Architects, Analysts, and business teams to deliver data solutions.


• Develop and optimize batch and real-time data processing workflows.


• Ensure data quality, integrity, security, and governance standards are met.


• Monitor, troubleshoot, and resolve production data pipeline issues.


• Optimize Spark jobs, SQL queries, and Databricks workloads for performance.


• Participate in data modeling, code reviews, and platform enhancement activities.


• Create technical documentation and support production deployments.


• Participate in Agile ceremonies and contribute to continuous improvement initiatives.

Salary Range- $100,000-$115,000 a year

Location

Jersey City, NJ

Function

TECHNOLOGY

Role

Engineer

ID

434327

Skills

Python

Salary Range

$100,000 - $115,000