Software Engineer
Lecan Solutions · Bengaluru · onsite · Posted 1d ago
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About this role
Job Description: Data Engineer Python, PySpark, Apache Iceberg & Airflow
Job Title: Data Engineer
Experience: 5–11 Years
Locations: Bangalore and Chennai
Primary Skills: Python, PySpark, Apache Iceberg, Apache Airflow
Job Type: Full-Time
Job Summary
We are looking for experienced Data Engineers with strong expertise in Python, PySpark, Apache Iceberg, and Apache Airflow to design, develop, and maintain scalable data engineering solutions. The ideal candidate will have hands-on experience building robust data pipelines, processing large volumes of data, and implementing reliable data workflows for modern data platforms.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Python and PySpark.
- Build and optimize large-scale data processing applications using Apache Spark.
- Implement and manage data lakehouse solutions using Apache Iceberg.
- Develop, schedule, and monitor data workflows using Apache Airflow.
- Work with data lakes, distributed processing frameworks, and cloud-based data platforms.
- Optimize Spark jobs for performance, scalability, and cost efficiency.
- Implement data quality checks, error handling, logging, and pipeline monitoring.
- Collaborate with data architects, analysts, and other engineering teams to deliver reliable data solutions.
- Troubleshoot data pipeline failures and resolve performance and data integrity issues.
- Follow best practices for data security, governance, testing, and documentation.
Required Skills and Qualifications
- Experience: 5–11 years of relevant experience in data engineering.
- Python: Strong programming skills, including reusable modules, error handling, and data processing.
- PySpark: Hands-on experience with Spark DataFrames, transformations, joins, partitioning, and performance tuning.
- Apache Iceberg: Experience with Iceberg tables, schema evolution, partition evolution, and table maintenance.
- Apache Airflow: Experience developing and managing DAGs, scheduling workflows, handling dependencies, and monitoring pipeline execution.
- Strong understanding of ETL/ELT processes, data warehousing, and distributed data processing.
- Good knowledge of SQL and data modeling concepts.
- Experience working with data lake or lakehouse architectures.
- Familiarity with Git, code reviews, debugging, and software development best practices.
Good to Have
- Experience with AWS, Azure, or Google Cloud Platform.
- Knowledge of cloud data services and object storage such as Amazon S3 or Azure Data Lake Storage.
- Experience with Kafka or other data ingestion technologies.
- Familiarity with Delta Lake, Parquet, Hive, or similar data technologies.
- Experience with CI/CD, Docker, Kubernetes, and automated testing.
- Understanding of data governance, security, and observability.
Preferred Candidate Profile
- Strong analytical and problem-solving skills.
- Ability to work independently and collaborate effectively with cross-functional teams.
- Experience delivering production-grade data pipelines in enterprise environments.
- Excellent communication and documentation skills.
Job Locations
- Bangalore, Karnataka
- Chennai, Tamil Nadu
Experience Range: 5–11 Years
Keywords for Recruitment: Data Engineer, Python, PySpark, Apache Spark, Apache Iceberg, Airflow, ETL, ELT, Data Lakehouse, Data Pipelines, SQL, Cloud Data Engineering.
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About Lecan Solutions

Lecan Solutions
Recruitment
51-200
employees
2004
22 years old
Naraina
IN
₹2.7L PA avg
Avg at Lecan Solutions
₹10L – ₹20L PA
This role
About
Job Description Python Spark Developer
Position
Python Spark Developer
Experience
3 to 7 Years
Work Location
- Chennai – Sholinganallur SEZ
- Bangalore – RMZ Ecoworld, Bellandur
Job Summary
We are seeking a highly skilled Python Spark Developer with strong expertise in big data technologies and distributed data processing. The ideal candidate should have hands-on experience in Python, Apache Spark, SQL, Unix Shell Scripting, and Airflow, along with a solid understanding of the Hadoop ecosystem.
The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data processing applications while collaborating with cross-functional teams and mentoring junior developers.
Key Responsibilities
- Develop and maintain scalable applications using Python and Apache Spark.
- Design and implement data processing pipelines using:
- Spark Core
- Spark SQL
- Spark Streaming
- Work extensively with the Hadoop Ecosystem for distributed data processing.
- Perform data manipulation, transformation, and analysis using Pandas.
- Develop and manage workflows using Apache Airflow.
- Write efficient and optimized SQL queries and Unix Shell scripts.
- Design low-latency, high-availability, and high-performance applications.
- Perform coding, testing, debugging, troubleshooting, and deployment activities.
- Monitor and optimize application performance, scalability, and usability.
- Implement automation and performance tuning solutions.
- Lead and mentor junior Python developers and provide technical guidance.
- Collaborate with stakeholders, architects, analysts, and development teams to deliver quality solutions.
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