Big Data Engineer - Python / PySpark

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

Job summary

Qcentrio in Bengaluru is seeking an experienced Data Engineer to design and build scalable data pipelines using PySpark, SQL, Python, and AWS services. You will collaborate with stakeholders across the SDLC to deliver robust data solutions in an agile environment.

Responsibilities include data ingestion, transformation, and quality assurance, with emphasis on building maintainable pipelines and automated workflows using Airflow, Hive, and Databricks.

Qualifications

• 5+ years of relevant experience developing Data and analytic solutions.
• Bachelor's degree in computer science or equivalent.
• Experience with AWS Cloud services (S3, EMR, Databricks) and PySpark.

Responsibilities

• Participate in all phases of the software development lifecycle from requirements to support.
• Develop scalable data pipelines and data lake solutions.
• Analyze, transform, and optimize data for ingestion and consumption.
• Collaborate with onsite coordinators and stakeholders on project requirements.
• Implement automated workflows using scheduling tools (e.g., Airflow).
• Troubleshoot data issues and ensure data quality.

Skills

Big Data

Python

SQL

Spark/Pyspark

AWS Cloud

Education

Bachelor's degree in Computer Science

Tools

GitHub

Airflow

Databricks

Hive

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