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StatusNeo - Data Engineer

NextHire Consulting

StatusNeo - Data Engineer

Reposted 6 Days Ago

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In-Office

Bengaluru, Bengaluru Urban, Karnataka, IND

Senior level

In-Office

Bengaluru, Bengaluru Urban, Karnataka, IND

Senior level

Design, build, and maintain large-scale data pipelines and ETL/ELT workflows using Spark and Scala. Implement data models and warehousing on Snowflake and cloud (AWS/GCP). Ensure data quality, governance, security, and performance optimization while collaborating with data scientists, analysts, DevOps, and stakeholders.

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Job Title: Data Engineer/ Sr. Data Engineer

Experience Level: 3-6 Years

Work Mode- Hybrid ( 2 PM to 11 PM )

Location: Bangalore/Gurgaon

Job Type: Full-Time

Company- StatusNeo

About the RoleWe’re looking for a Data Engineer who thrives on solving complex data challenges, building scalable pipelines, and delivering reliable insights that drive business decisions. The ideal candidate will bring hands-on expertise in cloud data platforms (AWS, GCP), Snowflake, Big Data ecosystems, and distributed computing using Spark and Scala. Key Responsibilities

Design, build, and maintain data pipelines for large-scale ingestion, transformation, and integration from multiple data sources.
Develop and optimize ETL/ELT workflows leveraging tools such as Spark, Scala, and SQL.
Implement data models and data warehousing solutions on Snowflake and cloud environments (AWS/GCP).
Work closely with data scientists, analysts, and business stakeholders to deliver high-quality, production-ready data solutions.
Manage data quality, governance, and security across environments.
Optimize performance of data pipelines, focusing on scalability, efficiency, and cost optimization in cloud setups.
Collaborate with DevOps teams for CI/CD deployment and monitoring of data solutions.
Technical Skill Set (Must Have)
- Programming Languages: Scala, SQL
- Big Data Frameworks: Apache Spark, Hadoop ecosystem
- Cloud Platforms: AWS (S3, EMR, Glue, Redshift, Lambda) and/or GCP (BigQuery, Dataflow, Dataproc, Composer)
- Data Warehouse: Snowflake (data modeling, performance tuning, query optimization)
- ETL Tools: Spark-based ETL or Airflow/Glue/Composer
- Version Control & CI/CD: Git, Jenkins, or equivalent
- Data Formats: Parquet, Avro, ORC, JSON, CSV
  Good to Have
  - Knowledge of Python for data scripting and automation.
  - Familiarity with containerization (Docker, Kubernetes).
  - Experience with data cataloging and metadata management tools.
  - Exposure to streaming frameworks (Kafka, Pub/Sub).

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