Big Data Engineer - Python/PySpark

Qcentrio; Dadri; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Qcentrio is seeking a senior data engineer in India to drive end-to-end data engineering initiatives. You will work with AWS-based data lake ecosystems, PySpark, SQL, and Python to design scalable pipelines and data architectures.

You will collaborate with business and technology stakeholders, implement automated workflows with Airflow, and contribute to Agile project teams while ensuring data quality and reliable deployments.

Qualifications

• 5+ years of relevant experience building data and analytic solutions.
• Experience building data lake solutions using AWS, EMR, S3, Hive, and PySpark.
• Proficient in relational SQL.
• Proficient in Python scripting.
• Experience with GitHub and related dev workflows.
• Experience with Airflow for workflow scheduling.
• Deep AWS Cloud knowledge (S3, EMR, Databricks).
• Passion for data solutions and strong analytical mindset.
• Experience with data pipelines design, development, and testing.
• Experience with Agile teams.

Responsibilities

• Actively participate in all phases of the software development lifecycle.
• Solve complex business problems with disciplined development methods.
• Produce scalable, flexible, and efficient data solutions.
• Analyze source and target data; map transformations.
• Interact with client and onsite coordinators during projects.
• Design and implement data features with stakeholders.
• Improve data quality by addressing data management issues.
• Clean, prepare, and optimize data for ingestion and consumption.
• Support new data projects and restructure current data architecture.
• Implement automated workflows using scheduling tools.
• Follow CI, TDD, and production deployment frameworks.
• Contribute to design, code, test plans, and dataset implementation.
• Analyze and profile data to design scalable solutions.
• Troubleshoot data issues and perform root cause analysis.

Skills

Big Data

Python

SQL

Spark/PySpark

AWS Cloud

Education

Bachelor's degree in computer science

Tools

GitHub

Airflow

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