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Data Engineer

ThoughtWin

  • Location Indore, Madhya Pradesh, India
  • Job type Full-time
  • Work mode On-site
  • Salary Not disclosed
  • Posted
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Job overview

Location
Indore, Madhya Pradesh, India
Job type
Full-time
Work mode
On-site
Salary
Not disclosed
Category
IT & Technology
Posted
Valid through

At a glance by CareerCola

Company
ThoughtWin
Role
Data Engineer
Location
Indore, Madhya Pradesh, India
Employment type
Full-time
Work mode
On-site
Category
IT & Technology
Posted
15 Oct 2026
Valid through
14 Nov 2026

About the role

Data Engineer

1-4 YRS Indore Full-Time We are looking for a Data Engineer with 1-4 yrs  years of experience to design, build, and maintain scalable data pipelines and data platforms across cloud and big data ecosystems. The candidate should have hands-on experience with Hadoop, Spark/PySpark, Snowflake, data modeling, and workflow orchestration tools.
Key ResponsibilitiesDesign, develop, and maintain ETL/ELT data pipelines.Work with large-scale distributed systems like Hadoop and Spark.Develop data pipelines using PySpark and Spark SQL.Build and optimize data warehouses in Snowflake.Perform data modeling (Star Schema, Snowflake Schema, SCD Types).Implement workflow orchestration using tools like Airflow.Work with cloud platforms such as AWS / Azure / GCP.Optimize data pipelines for performance and cost.Ensure data quality, data validation, and monitoring.
  • Work with structured and semi-structured data (JSON, Parquet, Avro, CSV).
  • Collaborate with Data Analysts, Data Scientists, and Business Teams.


Required Technical SkillsBig Data & Hadoop Ecosystem
  • Hadoop (HDFS, YARN, MapReduce)
  • Apache Spark
  • PySpark
  • Hive
  • HBase (optional)
  • Kafka (basic knowledge)
Cloud Platforms (At least one required)
  • AWS: S3, Glue, EMR, Redshift, Lambda, Athena
  • Azure: ADLS, Azure Data Factory, Synapse, Databricks
  • GCP: GCS, BigQuery, Dataproc, Dataflow, Composer
Data Warehousing
  • Snowflake
  • Redshift / BigQuery / Synapse (nice to have)
Data Modeling
  • Star Schema
  • Snowflake Schema
  • Slowly Changing Dimensions (SCD Type 1, 2, 3)
  • Fact & Dimension tables
Orchestration Tools
  • Apache Airflow
  • Azure Data Factory / AWS Step Functions / Prefect / Luigi
Programming
  • Python
  • PySpark
  • SQL (Advanced SQL required)
  • Shell Scripting (basic)
File Formats
  • Parquet
  • Avro
  • ORC
  • JSON
  • CSV
Version Control & CI/CD
  • Git
  • CI/CD pipelines (GitHub Actions / Jenkins / Azure DevOps)


Preferred Skills
  • Databricks
  • Delta Lake
  • Iceberg
  • Data Lake Architecture
  • Data Governance & Security
  • Docker
  • Kubernetes (basic)

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About ThoughtWin

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