LEAD ENGINEER - DATA ANALYTICS

Sasken Technologies Limited; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A technology company is seeking a Lead Engineer in Data Analytics to oversee module ownership and ensure quality and timely delivery. The ideal candidate will have a robust background in data engineering, ETL/ELT processes, and experience with various tools such as MongoDB and SQL. This role entails conducting feasibility studies, design, coding, and mentoring junior engineers while working on data pipelines and analytics. The position requires 5-8 years of relevant experience, preferably with a degree in engineering or MCA.

Qualifications

• 5-8 years of experience in data engineering.
• Experience in creating databases and data pipelines.
• Must have familiarity with cloud platforms.

Responsibilities

• Conduct requirement analysis and feasibility studies.
• Design, code, test, and provide technical support.
• Mentor junior team members and ensure on-time delivery.

Skills

Data Engineering

ETL/ELT

SQL

NoSQL

Cloud Platforms (AWS, Azure, GCP)

Education

Engineering graduate or MCA

Tools

MongoDB

Tableau

PowerBI

Python

Spark

Kubernetes

Docker

Job description

LEAD ENGINEER - DATA ANALYTICS

Date: 20 May 2025

Location: IN

Company: Sasken Technologies Limited

Job Summary

The person in this position takes ownership of a module and associated quality and delivery. They provide instructions, guidance, and advice to team members to ensure quality and on-time delivery. They are expected to review the work quality of technical staff, identify key issues and challenges independently, prioritize tasks, and deliver results with minimal supervision. They should be able to investigate root causes of problems and propose solutions based on sound technical knowledge of technology, standards, tools, and processes. The role requires organizing ideas, making connections, and distinguishing implementable solutions. Flexibility in resolving problems and a comprehensive understanding of techniques, processes, tools, and standards within the relevant field are essential.

Roles & Responsibilities

• Requirement analysis, feasibility studies, system-level work estimation, risk identification, and mitigation.
• Design, coding, testing, bug fixing, documentation, and technical support.
• Ensure on-time delivery while meeting quality and productivity goals.
• Maintain traceability from requirements to delivery, optimize code, and ensure coverage.
• Conduct reviews, identify risks, and own the quality of deliverables.
• Identify training needs, enhance technical skills through training and self-study, and participate in technical initiatives.
• Serve as a technical mentor for junior team members.
• May be assigned additional managerial responsibilities at the discretion of the Project Manager.

Education and Experience

Engineering graduate, MCA, etc., with 5-8 years of experience.

Competencies

Experience in data engineering, creating databases, data pipelines (ETL/ELT), and reporting layers using tools like MongoDB, Hive, HBase, Spark, Tableau, PowerBI, Python, Scala, SQL, ElasticSearch. Familiarity with cloud platforms such as AWS, Azure, GCP is required. Skills in data modeling, data warehousing, big data engineering, and edge analytics are essential.

Must-have skills include GCS, IAM, SQL, NoSQL, MongoDB, ElasticSearch, DynamoDB, data migration and processing, Docker, Kubernetes, data engineering, ETL, data warehousing, data analytics, Apache Beam SDK, PySpark, CI/CD, BigQuery, Dataflow, Cloud Functions, Cloud Composer DAG, Firestore.