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NetAnalytiks - Data Engineer - Python Programming

NetAnalytiks - Data Engineer - Python Programming

NETANALYTIKS TECHNOLOGIES LIMITEDBangalore
19 days ago
Job description

Key Responsibilities :

  • Develop, test, and maintain robust data pipelines using Python to ingest, clean, transform,

and store data from multiple sources.

  • Design scalable and reliable data workflows that support real-time and batch processing.
  • Collaborate with business stakeholders, data analysts, and other engineers to understand
  • data requirements and deliver optimal solutions.

  • Optimize performance of data pipelines and ensure efficient processing and low-latency access to data.
  • Implement best practices in data architecture, data quality, security, and governance.
  • Work with cloud platforms (e.g., AWS, Azure, GCP) for data storage, processing, and pipeline orchestration.
  • Integrate data from APIs, databases, flat files, streaming services, and third-party applications.
  • Monitor, troubleshoot, and support data pipelines in production environments.
  • Maintain proper documentation of data workflows, schema definitions, and metadata.
  • Required Skills & Qualifications :

  • Bachelors or Masters degree in Computer Science, Engineering, Information Systems, or related field.
  • 37 years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in Python for data manipulation, scripting, and automation.
  • Solid understanding of data structures, algorithms, and data modeling concepts.
  • Experience with ETL / ELT development using tools like Airflow, Prefect, or similar.
  • Strong SQL skills and experience working with relational databases (e.g., PostgreSQL, MySQL,
  • SQL Server).

  • Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
  • Familiarity with data lake and data warehouse concepts.
  • Hands-on experience with at least one cloud platform : AWS (e.g., S3, Lambda, Redshift, Glue), Azure, or GCP.
  • Experience with containerization and version control tools (Docker, Git).
  • Understanding of CI / CD processes in data engineering environments.
  • Preferred Skills :

  • Experience with big data tools like Apache Spark, Kafka, Databricks, or Snowflake.
  • Knowledge of data security practices, GDPR, and data compliance standards.
  • Familiarity with data cataloging and lineage tools (e.g., Apache Atlas, Collibra).
  • Exposure to monitoring tools such as Prometheus or Grafana is a plus.
  • Soft Skills :

  • Excellent problem-solving and analytical thinking.
  • Strong communication and interpersonal skills.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Attention to detail and a commitment to delivering high-quality work
  • ref : hirist.tech)

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    Data Engineer Python • Bangalore

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