๐ Job Overview
- ๐ข Company: NICE Software Solutions Pvt. Ltd.
- ๐ผ Job Role: SQL & Python Data Engineer
- ๐ Locations: Pune and Nagpur, Maharashtra
- ๐ข Work Mode: Work From Office (WFO)
- ๐จโ๐ป Experience: 3+ years of relevant experience
- ๐ Qualification: Not specifically mentioned in the announcement
- ๐ ๏ธ Required Technologies: SQL, Python, and PySpark
- โ๏ธ Additional Opportunity: Three-month Snowflake training program
- ๐ Certification: Opportunities for Snowflake training and certification
- ๐ Walk-In Dates: 14 and 15 November 2026
- โฐ Walk-In Timing: 9:00 AM to 5:30 PM
- ๐ Expected Joining Date: 23 November 2026
- ๐ฅ Eligible Candidates: Experienced professionals with relevant technical skills
- ๐ฉ Application Email: sbhande@nicesoftwaresolutions.com
๐ Important: Candidates must be available to join on 23 November 2026 and willing to work from either the Pune or Nagpur office.
๐ ๏ธ Key Responsibilities
The announcement does not provide a detailed project responsibility list. However, based on the advertised Data Engineer role and required technologies, candidates should be prepared to demonstrate the following capabilities:
- ๐๏ธ SQL Development: Write complex SQL queries, joins, subqueries, aggregations, and data transformations.
- ๐ Python Programming: Use Python to process, manipulate, and transform structured datasets.
- โก PySpark Processing: Understand distributed data processing and large-scale data transformation concepts.
- ๐ Data Engineering: Understand data pipelines, ETL/ELT workflows, and data integration fundamentals.
- โ๏ธ Snowflake Learning: Participate in structured training and practical assessments covering Snowflake.
- ๐ค Communication: Explain technical solutions clearly and collaborate effectively with project teams.
๐ Why Is This Role a Good Opportunity?
This opportunity is relevant for professionals who want to strengthen their data engineering career and explore Snowflake.
- ๐ Snowflake Exposure: Gain structured, hands-on exposure to a widely used cloud data platform.
- ๐ Three-Month Training: Develop practical knowledge through a dedicated training program.
- ๐ Certification Opportunity: Work toward Snowflake certification through the announced training initiative.
- ๐ป Technical Development: Build on existing SQL, Python, and PySpark knowledge.
- ๐ Potential Project Deployment: Successful candidates may be considered for client projects depending on business requirements and project fit.
Note: Training completion does not guarantee client deployment or project allocation.
๐ง Skills Required
Essential Skills:
- ๐๏ธ SQL: Joins, CTEs, window functions, stored procedures, indexing concepts, and query optimization.
- ๐ Python: Functions, collections, exception handling, file processing, and data manipulation.
- โก PySpark: DataFrames, transformations, actions, and distributed processing fundamentals.
- ๐ ETL Concepts: Data extraction, transformation, loading, and pipeline fundamentals.
- ๐ค Communication: Good verbal and written communication skills.
Additional Skills to Prepare: - โ๏ธ Snowflake: Warehouses, databases, schemas, stages, and basic architecture.
- โ๏ธ Cloud Data Concepts: Data lakes, cloud storage, and scalable data processing.
๐ค Expected Interview Rounds
The company has confirmed three selection stages for this recruitment drive:
- ๐งโ๐ป Face-to-Face Technical Evaluation: Candidates may be evaluated on SQL, Python, PySpark, data engineering fundamentals, and previous project experience.
- ๐ Technical Assessment: Be prepared for practical SQL queries, Python programming exercises, and data transformation problems.
- ๐ค HR Discussion: The discussion may cover current compensation, expected salary, notice period, joining availability, communication, and work location preferences.
The technical topics listed above are preparation suggestions, not a confirmed question list.
๐ฐ Expected Salary Range
๐ Preparation Tips for This Specific Job
Candidates should concentrate on practical SQL, Python, and PySpark exercises before attending the walk-in drive.
- ๐๏ธ Practice SQL: Solve problems involving second-highest salary, duplicate records, ranking employees, joins, CTEs, and window functions.
- ๐ Revise Python: Practice list and dictionary operations, functions, loops, file handling, exception handling, and data manipulation.
- โก Study PySpark: Understand DataFrames, transformations, actions, groupBy, joins, and partitioning.
- ๐ Understand ETL Pipelines: Prepare to explain how data moves from source systems into a destination warehouse.
- โ๏ธ Explore Snowflake: Learn its architecture, virtual warehouses, databases, schemas, stages, and loading concepts.
- ๐ผ Prepare Project Examples: Explain your previous data engineering projects, architecture, responsibilities, challenges, and individual contributions.
- ๐ฏ Practice Scenario Questions: Prepare examples involving duplicate removal, missing values, incremental loading, and handling large datasets.
๐ Resume Tips
Prepare an updated, ATS-friendly resume highlighting your actual experience in data engineering.
- ๐ Technical Keywords: Include SQL, Python, PySpark, ETL, ELT, Data Pipelines, Data Transformation, and Snowflake wherever relevant to your experience.
- ๐ป Project Experience: Highlight projects involving data extraction, processing, transformation, and warehouse integration.
- ๐ Quantify Achievements: Mention measurable improvements in query performance, processing time, or pipeline efficiency when supported by actual results.
- ๐ ๏ธ Demonstrate Ownership: Clearly explain your individual contribution, tools used, and technical challenges resolved.
- ๐ Keep It Clear: Use simple formatting, readable headings, and relevant technical skills without adding unsupported experience.
๐ฉ How to Apply for NICE Software Solutions Walk-In Drive
Interested and eligible candidates can share their updated resumes through the recruiter email provided in the hiring announcement.
- ๐ง Email: sbhande@nicesoftwaresolutions.com
- ๐ Subject: Application for SQL & Python Data Engineer โ Walk-In Drive 2026
- ๐
Walk-In Dates: 14โ15 November 2026
๐ Walk-In Locations:
Nagpur Office:
NICE Software Solutions Pvt. Ltd., 21, IT Park, Wing-A, Ground Floor, Gayatri Nagar, Nagpur, Maharashtra โ 440022.
Pune Office:
NICE Software Solutions Pvt. Ltd., Office No. 703, 7th Floor, Konark Alpha, Nagar Road, Kharadi Bypass, Pune โ 411014.
โฐ Reporting Time: Between 9:00 AM and 5:30 PM.
๐ Documents to Carry: Updated resume and relevant employment or identification documents. Confirm any additional document requirements with the recruiter before attending.
๐ Final Thoughts
The NICE Software Solutions walk-in drive is a valuable opportunity for experienced professionals with 3+ years of SQL, Python, or PySpark experience who want to expand their knowledge of Snowflake and cloud data engineering.
Candidates should revise their technical fundamentals, prepare practical project explanations, and attend the face-to-face evaluation with confidence. If you meet the eligibility criteria and are available to join on 23 November 2026, consider participating in this recruitment drive.
๐ Prepare well, showcase your technical expertise, and take the next step in your Data Engineering career!
