AWS Data Engineer/ Data Bricks/Pyspark

Tata Consultancy Services; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tata Consultancy Services in Bangalore is seeking a Technical Lead with strong hands-on expertise in Python, PySpark, and Databricks to guide the design, development, and deployment of scalable data engineering solutions.

You will lead end-to-end data pipelines, optimize batch and streaming processes with Kafka and Airflow, and mentor a team of engineers while aligning with business stakeholders.

Qualifications

• 5-10 years of IT experience with data engineering focus.
• Strong hands-on experience in Python, PySpark, Spark SQL, Databricks and AWS.

Responsibilities

• Design, architect, and develop scalable data processing apps using Python, PySpark, Databricks and AWS.

Skills

Python

PySpark

Databricks

AWS Cloud

SQL

Apache Kafka

Airflow

Oracle Database

PL/SQL

Unix Shell Scripting

AutoSys

Test-Driven Development

GitHub

Tools

Airflow

GitHub

Job description

Job Title: Technical Lead - Python/PySpark Data Engineering

Location: Bangalore

Experience: 5-10 Years

Job Description

We are looking for an experienced Technical Lead with strong expertise in Python, PySpark, Databricks, AWS Cloud, SQL, and Apache Kafka to lead the design, development, and implementation of scalable data engineering solutions. The ideal candidate will have extensive hands‑on experience in big data processing, cloud‑based data platforms, and real‑time streaming architectures.

Primary Skills

• Python
• PySpark / Apache Spark
• Databricks
• AWS Cloud Services
• SQL / Spark SQL
• Apache Kafka

Secondary Skills

• Apache Airflow
• Oracle Database
• PL/SQL
• Unix Shell Scripting
• AutoSys
• Test-Driven Development (TDD)
• GitHub

Key Responsibilities

• Design, architect, and develop scalable data processing applications using Python, PySpark, Databricks, and AWS.
• Build and optimize batch and streaming data pipelines using Apache Kafka and Airflow.
• Lead end‑to‑end implementation of Databricks solutions, including architecture, development, deployment, and performance tuning.
• Develop and maintain complex ETL/ELT solutions for large‑scale data platforms.
• Work closely with business stakeholders, vendors, and cross‑functional teams to deliver high‑quality solutions.
• Support production systems, troubleshoot critical issues, and provide timely resolutions.
• Perform data modeling, database design, and performance optimization.
• Mentor junior developers and provide technical leadership to Agile teams.
• Ensure adherence to best practices in software development, testing, and deployment.

Required Qualifications

• 5-10 years of overall IT experience with strong data engineering expertise.
• Strong hands‑on experience in Python, PySpark, Spark SQL, Databricks, and AWS.
• Minimum 2+ years of experience with Apache Kafka streaming solutions.
• Experience with Airflow, Oracle, PostgreSQL, and NoSQL databases.
• Knowledge of APIs, data integration frameworks, and real‑time data streaming.
• Experience working in Agile environments and version control systems.
• Excellent analytical, problem‑solving, and communication skills.
• Ability to work independently in a fast‑paced, deadline‑driven environment.

Preferred Qualifications

• Experience in Banking or Capital Markets domain.
• Experience leading Agile development teams.
• Exposure to large‑scale enterprise data platforms and cloud migration projects.

Note: This role requires approximately 90% hands‑on development, design, and architecture work and 10% team mentoring and technical leadership responsibilities.

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