StatusNeo - Data Engineer

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 Role

We’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).