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Data Engineer - Python, AWS, SQL at LANCESOFT…

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LANCESOFT INDIA PRIVATE LIMITED

Gurugram · On-site · 5-8 Yrs · Oct 15

1 open role0 posted in 7d1 in 30d

Hiring: Engineering

Job description

Overview

Data Engineer (SQL + Python + DBT + Airflow + Snowflake) 5+ YearsRole : Data EngineerExperience : 5+ YearsLocation : Bengaluru/GurgaonEmployment Type : Full-TimeJob Summary : We are looking for an experienced Data Engineer with strong expertise in SQL, DBT, Apache Airflow, and Python to design, develop, and maintain scalable data pipelines and transformation frameworks.

Responsibilities

- Design, develop, and maintain scalable ETL/ELT data pipelines using Python, DBT, and Apache Airflow.
Build and manage Airflow DAGs for workflow orchestration, scheduling, monitoring, and dependency management.
Develop reusable and optimized DBT models, snapshots, tests, and macros for data transformation.
Implement data quality checks, validation frameworks, and reconciliation processes across data pipelines.
Develop and optimize Python scripts for data ingestion, transformation, automation, and exception handling.
Work with structured and semi-structured data formats such as JSON, CSV, and Parquet.
Integrate data from multiple sources into enterprise data warehouses and analytics platforms.
Monitor, troubleshoot, and resolve data pipeline failures and performance bottlenecks.
Collaborate with Data Architects, Analysts, and Business stakeholders to understand and deliver data requirements.
Ensure adherence to best practices around coding standards, version control, testing, and deployment.
Participate in production support, incident resolution, and root cause analysis activities.Mandatory Skills : - 5+ years of experience in Data Engineering.
Strong hands-on experience with DBT (Data Build Tool).
Strong experience with Apache Airflow including DAG development, scheduling, monitoring, and workflow orchestration.
Proficiency in Python for ETL development, automation, and data processing.
Strong SQL skills with experience in writing complex queries and performance tuning.
Experience developing and supporting enterprise-scale ETL/ELT pipelines.
Experience with Snowflake, Redshift, BigQuery, or other cloud data warehouses.
Knowledge of data modeling concepts including Star Schema and Dimensional Modeling.
Experience with Git-based version control systems.Preferred Skills : - Experience with AWS services such as S3, Glue, Lambda, or EMR.
Exposure to CI/CD pipelines and DevOps practices.
Experience working in Agile/Scrum environments.
Familiarity with data quality, governance, and observability frameworks.Nice to Have : - Snowflake Streams, Tasks, Snowpipe.
PySpark or Spark.
Terraform or Infrastructure as Code.
Monitoring and alerting tools.Qualification : - Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.Key Skills : - Snowflake DBT, Apache Airflow, Python, SQL, ETL, ELT, Data Engineering, Snowflake, AWS, Data Warehousing, Data Modeling, CI/CD, Git, Cloud Data Platforms (ref:hirist.tech)

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Job application FAQ

Last updated 26 October 2026

How do I apply for Data Engineer - Python, AWS, SQL at LANCESOFT INDIA PRIVATE LIMITED?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. LANCESOFT INDIA PRIVATE LIMITED may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this Data Engineer - Python, AWS, SQL role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is Data Engineer - Python, AWS, SQL remote or on-site in Gurugram, Haryana?: This listing is marked on_site with location Gurugram, Haryana. Confirm details on the job description before applying.
What skills matter for this Data Engineer - Python, AWS, SQL role at LANCESOFT INDIA PRIVATE LIMITED?: This is a mid-level Data Engineer - Python, AWS, SQL role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.

Job description

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Responsibilities

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