Role Overview
Early Career is hiring a mid-level Bigdata Developer with PySpark. This is a full-time role in Pune. Part of Early Career's Lifecycle hiring, posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities
Core Responsibilities
- Develop and maintain data pipelines: Design, develop, and optimize scalable ETL (Extraction, Transformation, Loading) pipelines using PySpark to process large datasets.
- Coding and software engineering: Write clean, efficient, well-documented code primarily in Python (PySpark) and Java, often utilizing frameworks like Spring Boot.
- Collaboration and communication: Work with cross-functional teams, including senior developers, data engineers, analysts, and business partners, to understand data requirements and ensure seamless integration of solutions.
- Troubleshooting and optimization: Debug and resolve data processing issues and performance bottlenecks in Spark applications and other big data technologies.
- Full lifecycle involvement: Participate in the entire software development lifecycle (SDLC), from requirements analysis and design to testing, deployment, and operations, often using Agile/Scrum methodologies.
- Data integrity and quality: Ensure data quality and integrity throughout the data lifecycle.
Key Technical Skills & Qualifications
- Programming Languages:
- Strong understanding of Core Java and Object-Oriented Programming (OOP) concepts.
- Proficiency in Python, specifically for PySpark development.
- Big Data Technologies:
- Hands-on experience or familiarity with Apache Spark (PySpark), Hadoop, and related ecosystem components like Hive and Sqoop.
- Should have knowledge of Linux OS and hands-on experience in writing shell scripts.
- Knowledge of distributed NoSQL databases (e.g., Elasticsearch, Cassandra, MongoDB) is a plus.
- Databases & SQL:
- Basic knowledge of SQL and relational databases.
- Experience writing queries to validate and manipulate data.
- Cloud Platforms:
- Familiarity with cloud services such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP).
- Tools & Methodologies:
- Understanding of version control systems (e.g., Git).
- Experience with development and testing tools (e.g., JIRA, Confluence).
- Familiarity with DevOps practices and CI/CD pipelines is a bonus.
Qualifications
- 4-8 years of relevant experience in the Financial Service industry
- Intermediate level experience in Applications Development role
- Consistently demonstrates clear and concise written and verbal communication
- Demonstrated problem-solving and decision-making skills
- Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Education
- Bachelor’s degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Frequently Asked Questions
How do I apply for the Bigdata Developer with PySpark position at Early Career?
Use the Apply button above to submit your application directly to Early Career. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Bigdata Developer with PySpark position at Early Career located?
This position is based in Pune. Early Career has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Bigdata Developer with PySpark at Early Career earn?
Early Career has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Bigdata Developer with PySpark role at Early Career posted?
This role was posted on June 21, 2026 (2 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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