Hiring For AWS Data Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services in Bengaluru seeks a Technical Lead with 6+ years of hands-on experience in Python/PySpark, Spark, Databricks, AWS, Kafka and Airflow to architect and deliver large-scale data solutions.

You will focus on development and design, mentor juniors, and collaborate with stakeholders on data pipelines, modeling and production support in a capital markets environment.

Qualifications

• 6+ years of development experience in big data and analytics.
• Strong hands-on Python/PySpark with Spark/Databricks.
• Experience with AWS, Kafka and Airflow in production environments.
• Proficient in SQL/PL/SQL, Unix shell scripting and Autosys.
• Experience with relational and NoSQL databases; data modeling powers.
• Capital Markets project experience is preferred; banking domain exposure helps.

Responsibilities

• Spend ~90% on hands-on development, design and architecture.
• Lead a team of agile developers and mentor junior staff.
• Architect, design and implement data pipelines and data models.
• Collaborate with stakeholders and vendors to deliver solutions.
• Ensure production stability, issue resolution and release readiness.

Skills

Python

PySpark

Spark

Databricks

AWS

Kafka

Airflow

SQL

PL/SQL

Unix Shell

Autosys

Oracle

PostgreSQL

NoSQL

Data Modeling

Agile

Leadership

Mentoring

Tools

Databricks

Airflow

Kafka

AWS

Job description

Location : Bangalore

Roles & Responsibilities : Technical Lead (overall 6+ years good development experience) with good hands-on experience in Python/PySpark with strong experience in Spark /PySpark, Databricks, AWS services ,Spark SQL for big data processing and,Kafka, Airflow.

• Worked in a complex deadline driven projects with minimal supervision. Ability to architect/design/develop with minimum requirements by effectively.
• 2+ experience on Apache Kafka streaming processing and Python/PySpark.
• End to end understanding of Databricks architecture, design, development and implementation.
• good experience on AWS clouds and Data bricks,Airflow.
• Excellent work ethics with ability to work independently.
• Hands-on experience in SQL, PL/SQL, Unix Shell Scripting, Autosys.
• Experience with relational databases such as Oracle, PostgreSQL as well as NoSQL databases
• Data integration techniques and tools including APIs and data streaming
• Strong analytical and problem solving skills, with the ability to identify and resolve issues in data pipelines and systems
• Experience with Agile software development methodology and version control systems like GitHub
• Expertise in Data Modeling and DB design with the skills in performance tuning
• Support existing data platforms and products in production for any critical issues and provide resolution fixes
• Have good communication skill, and collaborate well with different teams/stakeholders and vendors
• Expected to spend 90% of the time on hands-on development, design and architecture and remaining 10% on guiding the team on technology and removing other impediments Capital Markets Projects experience preferred Provides advanced technical expertise in analyzing, designing, estimating, and developing software applications to project schedule. Oversees systems design and implementation of most complex design components. Creates project plans and deliverables and monitors task deadlines. Oversees, maintains and supports existing software applications. Provides subject matter expertise in reviewing, analyzing, and resolving complex issues. Designs and executes end to end system tests of new installations and/or software prior to release to minimize failures and impact to business and end users. Responsible for resolution, communication, and escalation of critical technical issues. Prepares user and systems documentation as needed. Identifies and recommends Industry best practices. Serves as a mentor to junior staff.
• Ability to lead a team of agile developers.
• Experience in Banking Domain preferred.