Big Data Engineer

Qcentrio; Gurugram District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Qcentrio in Gurugram, India is seeking an experienced Data Engineer to join our analytics team. You will build scalable data pipelines, design data lakes on AWS, and collaborate with product and technology stakeholders to deliver reliable data solutions.

The role requires 5+ years in data engineering, Python, PySpark, SQL, and experience with Airflow, GitHub and AWS services like S3 and EMR. You will work in an Agile environment to improve data quality and drive insights.

Qualifications

• 5+ years of relevant experience in data engineering and analytics.
• Experience building data lake solutions using AWS services (S3/EMR/Hive) and PySpark.
• Proficient in relational SQL and Python scripting.
• Experience with GitHub and CI/CD workflows.
• Familiarity with Airflow and Agile development practices.

Responsibilities

• Actively participate in all phases of the software development lifecycle.
• Design and implement scalable data engineering features with stakeholders.
• Analyze source and target data; map transformations to meet requirements.
• Build and optimize data pipelines, ensuring data quality and reliability.
• Collaborate with client teams and onsite coordinators during project phases.
• Develop automated workflows and encourage CI/CD and test-driven development.

Skills

Big Data

Python

SQL

Spark/PySpark

AWS Cloud

Education

Bachelor's degree in computer science

Tools

GitHub

Airflow

Hive

Databricks

S3

EMR

Job description

Notice Period : Immediate - 30 days

Mandatory Skills : Big Data, Python, SQL, Spark/Pyspark, AWS Cloud

JD and required Skills & Responsibilities :

• - Actively participate in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing, roll-out, and support.
• - Solve complex business problems by utilizing a disciplined development methodology.
• - Produce scalable, flexible, efficient, and supportable solutions using appropriate technologies.
• - Analyse the source and target system data. Map the transformation that meets the requirements.
• - Interact with the client and onsite coordinators during different phases of a project.
• - Design and implement product features in collaboration with business and Technology stakeholders.
• - Anticipate, identify, and solve issues concerning data management to improve data quality.
• - Clean, prepare, and optimize data at scale for ingestion and consumption.
• - Support the implementation of new data management projects and re-structure the current data architecture.
• - Implement automated workflows and routines using workflow scheduling tools.
• - Understand and use continuous integration, test-driven development, and production deployment frameworks.
• - Participate in design, code, test plans, and dataset implementation performed by other data engineers in support of maintaining data engineering standards.
• - Analyze and profile data for the purpose of designing scalable solutions.
• - Troubleshoot straightforward data issues and perform root cause analysis to proactively resolve product issues.

Required Skills :

• - 5+ years of relevant experience developing Data and analytic solutions.
• - Experience building data lake solutions leveraging one or more of the following AWS, EMR, S3, Hive & PySpark
• - Experience with relational SQL.
• - Experience with scripting languages such as Python.
• - Experience with source control tools such as GitHub and related dev process.
• - Experience with workflow scheduling tools such as Airflow.
• - In-depth knowledge of AWS Cloud (S3, EMR, Databricks)
• - Has a passion for data solutions.
• - Has a strong problem-solving and analytical mindset
• - Working experience in the design, Development, and test of data pipelines.
• - Experience working with Agile Teams.
• - Able to influence and communicate effectively, both verbally and in writing, with team members and business stakeholders
• - Able to quickly pick up new programming languages, technologies, and frameworks.
• - Bachelor's degree in computer science