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Data Engineer - ETL

Data Engineer - ETL

First Phoenics SolutionsBangalore
1 day ago
Job description

Job Title : Data Engineer

Location :

Hyderabad / Bengaluru

Experience : 5+ Years

Employment Type Summary :

We are seeking a highly skilled Data Engineer with over 5 years of experience to design, build, and optimize data pipelines and architectures that support large-scale data processing and analytics. The ideal candidate will work closely with data scientists, analysts, and business teams to enable reliable data availability, quality, and performance. This role requires hands-on expertise in modern data engineering tools, cloud platforms, and big data technologies to deliver scalable and efficient data solutions.

Key Responsibilities :

  • Design, develop, and maintain scalable and robust data pipelines to ingest, process, and transform structured and unstructured data from diverse sources.
  • Build and optimize data warehouses, data lakes, and ETL / ELT processes to support analytics and business intelligence initiatives.
  • Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality data solutions.
  • Implement data modeling, schema design, and metadata management best practices to ensure data integrity and usability.
  • Work with cloud data platforms (AWS, Azure, GCP) to deploy and manage data infrastructure components.
  • Develop and maintain batch and real-time streaming data pipelines using technologies such as Apache Spark, Kafka, or similar frameworks.
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to ensure reliability and efficiency.
  • Ensure data security, privacy, and compliance with organizational policies and regulatory standards.
  • Automate data workflows and deployments using CI / CD tools and scripting languages.
  • Document data architecture, processes, and best practices to facilitate knowledge sharing and operational excellence.
  • Stay updated with emerging data engineering technologies and recommend improvements to existing systems.

Required Qualifications :

  • Bachelors degree in Computer Science, Engineering, Information Technology, or related field.
  • Minimum 5 years of professional experience as a Data Engineer or in a similar role.
  • Strong programming skills in Python, Java, or Scala for data processing and automation.
  • Expertise in SQL and experience working with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).
  • Hands-on experience with ETL / ELT tools such as Apache NiFi, Talend, Informatica, or cloud-native alternatives.
  • Proficiency in big data technologies like Apache Spark, Hadoop, Kafka, or equivalent.
  • Experience with cloud platforms and services (AWS Glue, Azure Data Factory, Google Cloud Dataflow, etc.).
  • Knowledge of data warehousing solutions like Snowflake, Redshift, BigQuery, or Azure Synapse.
  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
  • Understanding of data governance, data quality frameworks, and compliance standards.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively in Agile / Scrum teams.
  • Preferred Qualifications :

  • Advanced degree (Masters or higher) in relevant fields.
  • Certifications related to cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, Google Professional Data Engineer).
  • Experience with workflow orchestration tools like Apache Airflow or Prefect.
  • Knowledge of machine learning pipelines and MLOps frameworks.
  • Exposure to real-time data processing and event-driven architectures.
  • ref : hirist.tech)

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