Big Data Engineer - Python/PySpark

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

Job summary

Qcentrio in Surat, India is seeking an experienced Data Engineer to contribute across the data lifecycle, from design to deployment. The role focuses on building scalable data pipelines, data lake solutions, and efficient data transformations using Python, Spark, and AWS technologies.

The candidate will work with Agile teams, collaborate with stakeholders, and implement automated workflows while ensuring data quality and reliability across large-scale datasets.

Qualifications

• 5+ years of relevant experience developing data and analytic solutions.
• Experience building data lake solutions using AWS, EMR, S3, Hive & PySpark.
• Experience with relational SQL.
• Experience with Python scripting.
• Experience with GitHub and related development processes.
• Experience with workflow scheduling tools such as Airflow.
• Strong AWS Cloud knowledge (S3, EMR, Databricks).
• Passion for data solutions and strong problem-solving mindset.
• Experience with Agile teams.

Responsibilities

• Participate in all phases of the software development lifecycle from requirements to deployment and support.
• Solve complex business problems with disciplined development methods.
• Produce scalable, flexible, efficient data solutions using appropriate technologies.
• Analyse source and target data and map transformations.
• Interact with clients and onsite coordinators during project phases.
• Design and implement features with stakeholders across business and technology.
• Improve data quality by identifying and solving data management issues.
• Clean, prepare and optimize data at scale for ingestion and consumption.
• Support new data management projects and restructure data architecture.
• Implement automated workflows and routines using scheduling tools.
• Understand CI, TDD, and production deployment frameworks.
• Contribute to design, code, test plans, and dataset implementation to uphold data engineering standards.
• 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

Data analytics

Agile

Education

Bachelor's degree in computer science

Tools

AWS

EMR

S3

Hive

PySpark

GitHub

Airflow

Databricks

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