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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