Talent.com
Data Engineer

Data Engineer

Merilmohali, gujarat, in
6 hours ago
Job description

Job Title : Data Engineer

Experience Required : Minimum 1–2 Years

Location : Vapi, Gujarat

Employment Type : Full-time

About the Role

We are seeking a skilled and motivated Data Engineer to join our growing technology team. The

role involves building and maintaining scalable, reliable, and secure data infrastructure to support

analytics, data-driven decision-making, and AI / ML pipelines.

You’ll work with diverse data types and modern data platforms to design efficient data pipelines and ensure smooth data flow across systems.

Key Responsibilities

  • Design, develop, and maintain robust ETL / ELT pipelines for structured and unstructured data

using tools like Apache NiFi, Airflow, or Dagster.

  • Build streaming and event-driven data pipelines using Kafka, RabbitMQ, or similar systems.
  • Design and manage scalable data lakes (e.g., Apache Hudi, Iceberg, Delta Lake) over Amazon

    • S3 or MinIO.

  • Implement and optimize distributed databases such as Cassandra, MongoDB, ClickHouse, and

    • ElasticSearch.

  • Ensure data quality, monitoring, and observability across all data pipeline components.
  • Work with query engines like Trino for federated data access.
  • Manage data versioning and reproducibility using tools like DVC.
  • Perform data migrations, query optimization, and system performance tuning.
  • Collaborate with analytics, product, and AI teams to provide clean and well-structured datasets.

    • Must-Have Skills & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
  • 1–2 years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with ETL orchestration tools (Airflow, NiFi, Dagster).
  • Familiarity with data lakes, streaming platforms, and distributed databases.
  • Experience working with cloud / object storage (Amazon S3, MinIO).
  • Knowledge of data governance, security, and pipeline observability.

    • Good-to-Have Skills

  • Experience with time-series databases (InfluxDB, TimescaleDB, QuestDB).
  • Familiarity with graph databases (Neo4j, OrientDB, or RavenDB).
  • Understanding of MLOps, feature stores, or data lifecycle automation.
  • Exposure to Elasticsearch for indexing and search use cases.
  • Experience in query performance tuning and data migration strategies.
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