Big Data Engineer

Qcentrio; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Qcentrio in Bengaluru is seeking a Data Engineer with 6+ years of experience to join a pan-India team. You will participate in all SDLC stages, design scalable data solutions, and work with AWS, PySpark, and SQL to transform and optimize data pipelines.

Ideal candidates have strong problem-solving skills, hands-on experience with Airflow and data lake technologies, and the ability to collaborate with onsite coordinators and clients across projects.

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 Airflow and workflow scheduling.

Responsibilities

• Participate in all phases of the software development lifecycle including requirements gathering, design, development, testing, rollout, and support.
• Solve complex business problems by applying disciplined development methodologies.
• Produce scalable, flexible, efficient, and maintainable data solutions.
• Analyze source and target system data and map transformations to meet requirements.
• Interact with clients and onsite coordinators during project phases.
• Design and implement product features with business and Technology stakeholders.
• 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 current data architecture.
• Implement automated workflows using scheduling tools.
• Understand CI, TDD, and production deployment frameworks.
• Contribute to design, code, tests, and datasets to uphold data engineering standards.
• Analyze and profile data for scalable solution design.
• Troubleshoot data issues and perform root cause analysis to prevent recurrence.

Skills

Big Data

Python

SQL

Spark/PySpark

AWS Cloud

Education

Bachelor's degree in computer science

Tools

GitHub

Airflow

Databricks

EMR

S3

Hive

Job description

Work Location : Pan India

Experience : 6+ Years

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