? Hiring: Data Engineer | 5+ Years | Indore

We are looking for an experienced Data Engineer with 5+ years of hands-on experience in designing, developing, and maintaining scalable data pipelines and data platforms across cloud and big data ecosystems.

? Location: Indore

? Experience: 5+ Years

? Department: Data Engineering

? Employment Type: Full time

? Role Overview The ideal candidate should have strong expertise in:

✅ Hadoop

✅ Apache Spark / PySpark

✅ Snowflake

✅ Advanced SQL

✅ Data Modeling

✅ Apache Airflow

✅ Cloud Data Platforms

✅ ETL / ELT Pipelines

✅ Data Warehousing

✅ Data Quality & Pipeline Optimization

? Key Responsibilities

- Design, develop and maintain scalable ETL/ELT data pipelines
- Work with large-scale distributed data processing systems including Hadoop and Apache Spark
- Develop and optimize pipelines using PySpark and Spark SQL
- Build, maintain and optimize Snowflake data warehouses
- Implement data models including Star Schema, Snowflake Schema and SCD Types 1, 2 & 3
- Design and manage workflow orchestration using Apache Airflow
- Work with cloud platforms such as AWS, Azure or GCP
- Optimize pipelines for performance, scalability, reliability and cost efficiency
- Implement data quality checks, validation, monitoring and error handling
- Work with structured and semi-structured data including JSON, Parquet, Avro, ORC and CSV
- Collaborate with Data Analysts, Data Scientists and business stakeholders
- Participate in data architecture decisions, documentation and code reviews
- Troubleshoot complex data pipeline issues and drive continuous improvement

? Mandatory / Core Technical Skills

Big Data & Hadoop

- Hadoop – HDFS, YARN, MapReduce




- Apache Spark
- PySpark
- Spark SQL
- Hive
- Kafka – working knowledge
- HBase – optional

Cloud – At Least One Required

- AWS – S3, Glue, EMR, Redshift, Lambda, Athena
- OR Azure – ADLS, Azure Data Factory, Synapse, Databricks
- OR GCP – GCS, BigQuery, Dataproc, Dataflow, Composer

Data Warehousing

- Snowflake
- Redshift / BigQuery / Synapse – good to have

Data Modeling

- Star Schema
- Snowflake Schema
- Slowly Changing Dimensions – SCD Type 1, 2 & 3
- Fact and Dimension Tables

Orchestration

- Apache Airflow
- Azure Data Factory
- AWS Step Functions / Prefect / Luigi

Programming

- Python
- PySpark
- Advanced SQL
- Basic Shell Scripting

File Formats

- Parquet
- Avro
- ORC
- JSON
- CSV

Version Control & CI/CD

- Git
- GitHub Actions / Jenkins / Azure DevOps

⭐ Preferred Skills
- Databricks
- Delta Lake
- Apache Iceberg
- Data Lake Architecture
- Data Governance & Security
- Docker
- Kubernetes

? Candidate Expectations
- 5+ years of relevant Data Engineering experience
- Proven experience building and optimizing production-grade data pipelines
- Strong analytical and problem-solving skills
- Ability to independently troubleshoot complex data engineering challenges
- Strong cross-functional collaboration skills
- Experience delivering scalable and maintainable data solutions





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📌 Data Engineer (Indore)
🏢 NAZZTEC
📍 Indore