Aptino, Inc. | Data Engineer | hyderabad

2 weeks ago

hyderabad, India Aptino, Inc. Full time

Role: Data Engineer

Location: Pune, MH OR Mumbai, MH OR Gurgaon OR Hyderabad OR Bangalore, KA OR Bhubaneswar OR Chennai OR Coimbatore OR Gandhinagar, GJ OR Kolkata OR Noida OR Salem OR Trichy (Hybrid – 2-3 days/week from office)

Work time: Regular IST shift


Job Summary:

We are looking for a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will design, develop, and maintain robust data pipelines and systems that enable seamless data flow and analytics. You will play a crucial role in building efficient data solutions to support business intelligence, machine learning, and operational reporting.

Key Responsibilities:

1. Data Pipeline Development

  • Design, build, and maintain scalable ETL (Extract, Transform, Load) pipelines.
  • Develop solutions for data extraction from various structured and unstructured data sources.
  • Ensure data quality, integrity, and reliability throughout the data lifecycle.

2. Database Management

  • Design and optimize databases for performance and scalability.
  • Manage data storage solutions, such as data lakes and warehouses (e.g., AWS Redshift, Snowflake, Azure Synapse).
  • Monitor and troubleshoot database and pipeline issues to ensure uninterrupted data flow.

3. Collaboration & Integration

  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
  • Integrate data from diverse platforms, APIs, and third-party systems.
  • Work with DevOps teams to automate workflows and deploy scalable data solutions.

4. Data Governance & Security

  • Implement data governance policies, ensuring compliance with security and privacy regulations.
  • Manage access controls and data encryption to secure sensitive information.
  • Monitor data usage and establish standards for data consistency.

5. Continuous Improvement

  • Stay updated with emerging technologies in data engineering and analytics.
  • Identify and implement opportunities for improving data infrastructure performance and reliability.

Qualifications:

Education:

  • Bachelor’s degree in Computer Science, Information Technology, or a related field. (Master’s degree preferred.)

Experience:

  • 2+ years of experience as a Data Engineer or in a similar role.
  • Proven expertise in data engineering, database management, and data architecture.

Skills:

  • Proficiency in programming languages like Python, Java, or Scala.
  • Experience with SQL and NoSQL databases.
  • Hands-on expertise with data pipeline tools like Apache Kafka, Airflow, or AWS Glue.
  • Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and associated data services.
  • Strong knowledge of data warehousing and big data technologies (e.g., Hadoop, Spark).
  • Understanding of data governance, security, and compliance standards (e.g., GDPR, HIPAA).

Key Competencies:

  • Problem-solving and analytical thinking.
  • Strong communication and teamwork skills.
  • Attention to detail and focus on delivering high-quality solutions.
  • Ability to handle complex data environments with efficiency.

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