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Lead I - Software Engineering

Lead I - Software Engineering

UST

6 years

0 Lacs

Trivandrum Kerala India

Posted:3 days ago| Platform:

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Skills Required

software engineering data pyspark design hive sql spark hadoop architecture documentation optimization reliability analysis strategies coding testing collaboration engagement interface support management compliance gcp aws azure processing etl agile scrum kanban code git communication certification airflow dataflow governance healthcare docker kubernetes containerization test automation

Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

Job Summary:

We are seeking a

Senior Data Engineer

with strong hands-on experience in

PySpark, Big Data technologies, and cloud platforms (preferably GCP)

. The ideal candidate will design, implement, and optimize scalable data pipelines while driving technical excellence and process improvements. You will collaborate with cross-functional teams to solve complex data problems and ensure delivery of high-quality, cost-effective data solutions.

Roles & Responsibilities

Design & Development:

Develop scalable and efficient data pipelines using PySpark, Hive, SQL, Spark, and Hadoop.
Translate high-level business requirements and design documents (HLD/LLD) into technical specifications and implementation.
Create and maintain architecture and design documentation.

Performance Optimization & Quality

Monitor, troubleshoot, and optimize data workflows for cost, performance, and reliability.
Perform root cause analysis (RCA) on defects and implement mitigation strategies.
Ensure adherence to coding standards, version control practices, and testing protocols.

Collaboration & Stakeholder Engagement

Interface with product managers, data stewards, and customers to clarify requirements.
Conduct technical presentations, design walkthroughs, and product demos.
Provide timely updates, escalations, and support during UAT and production rollouts.

Project & People Management

Manage delivery of data modules/user stories with a focus on timelines and quality.
Set and review FAST goals for self and team; provide mentorship and technical guidance.
Maintain team engagement and manage team member aspirations through regular feedback and career support.

Compliance & Knowledge Management

Ensure compliance with mandatory trainings and engineering processes.
Contribute to and consume project documentation, templates, checklists, and domain-specific knowledge.
Review and approve reusable assets developed by the team.

Must-Have Skills

6+ years of experience in Data Engineering or related roles.
Strong proficiency in PySpark, SQL, Spark, Hive, and the Hadoop ecosystem.
Hands-on experience with Google Cloud Platform (GCP) or equivalent cloud services (e.g., AWS, Azure).
Expertise in designing, building, testing, and deploying large-scale data processing systems.
Sound understanding of data architecture, ETL frameworks, and batch/streaming data pipelines.
Strong knowledge of Agile methodologies (Scrum/Kanban).
Experience with code reviews, version control (Git), and CI/CD tools.
Excellent communication skills – both verbal and written.

Good-to-Have Skills

GCP Professional Data Engineer Certification or equivalent.
Experience with Airflow, Dataflow, BigQuery, or similar GCP-native tools.
Knowledge of data modeling techniques and data governance.
Exposure to domain-specific projects (e.g., BFSI, Healthcare, Retail).
Experience with Docker, Kubernetes, or other containerization tools.
Working knowledge of test automation and performance testing frameworks.

Skills

Spark,Hadoop,Hive,Gcp

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