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On-site

Job Type

Full Time

Job Description

About the Role

Data Engineer


Key Responsibilities

  • Design, develop, and maintain scalable

    ETL/ELT pipelines

    using modern data engineering tools.
  • Build and optimize

    data lakes, data warehouses, and streaming architectures

    .
  • Work with large and complex datasets to ensure quality, consistency, and availability.
  • Collaborate with Data Scientists and Analysts to understand data needs and deliver solutions.
  • Develop data models, schemas, and transformations to support analytics and reporting.
  • Implement data governance, security, cataloging, and lineage processes.
  • Optimize data pipeline performance, reduce cost, and improve reliability.
  • Integrate data from various sources including APIs, databases, and third-party systems.
  • Work with CI/CD and DevOps tools for data pipeline deployments.
  • Troubleshoot production issues and perform root cause analysis.


Required Skills

  • Strong programming skills in

    Python, SQL

    , and data processing frameworks.
  • Hands-on experience with

    big data technologies

    :
  • Apache Spark, Kafka, Hadoop, Hive, Airflow, etc.
  • Experience with

    cloud data platforms

    (AWS, Azure, or GCP):
  • AWS Glue, Redshift, S3, EMR
  • Azure Data Factory, Databricks
  • GCP BigQuery, Dataflow, Pub/Sub
  • Experience with data warehousing concepts and modeling (Star/Snowflake schema).
  • Solid understanding of

    ETL/ELT development

    , distributed systems, and performance tuning.
  • Good knowledge of version control (Git) and CI/CD practices.


Preferred Skills

  • Experience with

    dbt, Snowflake, Databricks

    or similar modern data tools.
  • Understanding of real-time streaming architectures.
  • Knowledge of containerization (Docker, Kubernetes).
  • Experience with data security and compliance frameworks.
  • Exposure to machine learning pipelines (ML Ops) is a plus.


Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
  • Relevant certifications (AWS Data Engineer, Databricks, Snowflake) are an added advantage.

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