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Sr Associate Software Engineer

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Amgen

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Responsibility:

  • Build Rest APIs, Bulk APIs, SOAP APIs to integrate different systems
  • Strong experience with designing schema and writing postgresSQL queries and SQL queries in general
  • Solid understanding of AWS Lambda, S3 bucket upload, EMR and EC2
  • Understanding of Object model in Salesforce applications
  • Design, develop, and optimize data pipelines/workflows using Databricks (Spark, Delta Lake) for ingestion, transformation, and processing of large-scale data
  • Build ETL pipeline with Informatica or other ETL tools
  • Support data governance and metadata management
  • Experience using static code scan tools
  • Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-to-end data pipelines to meet fast paced business needs across geographic regions
  • Identify and resolve complex challenges
  • Adhere to best practices for coding, testing, and designing reusable code/component
  • Analyze business and technical requirements and begin translating them into simple development tasks
  • Execute unit and integration tests, and contribute to maintaining software quality
  • Identify and fix bugs and defects during development or testing phases
  • Contribute to the maintenance and support of applications by monitoring performance and reporting issues
  • Use CI/CD pipelines as part of DevOps practices and assist in the release process

Requirements:

  • Master’s/Bachelor’s degree and 4 to 8 years of Computer Science, IT or related field experience
  • Bachelor’s or master’s degree in computer science, Data Science, or a related field
  • Hands on experience with big data technologies and platforms, such as Databricks, REST APIs, Bulk APIs, Apache Spark (PySpark, SparkSQL), python for workflow orchestration, performance tuning on big data processing
  • Proficiency in data analysis tools (eg. SQL)
  • Proficient in SQL for extracting, transforming, and analyzing complex datasets from relational data stores
  • Strong programming skills in Python, PySpark, and SQL
  • Familiarity with Informatica and/or other ETL tools
  • Experience working with cloud data services (Azure, AWS, or GCP)
  • Strong understanding of data modeling, entity relationships
  • Excellent problem-solving and analytical skills
  • Strong communication and interpersonal abilities
  • High attention to detail and commitment to quality
  • Ability to prioritize tasks and work under pressure
  • Team-oriented with a proactive and collaborative mindset
  • Willingness to mentor junior developers and promote best practices
  • Adaptable to changing project requirements and evolving technology

Nice to have:

  • Experience with Software engineering best-practices, including but not limited to version control, infrastructure-as-code, CI/CD, and automated testing
  • Knowledge of Python/R, REST APIs, SQL, Databricks, cloud data platforms
  • Strong understanding of data governance frameworks, tools, and best practices
  • Knowledge of data protection regulations and compliance requirements (e.g., GDPR, CCPA)
  • AWS Certified Data Engineer (preferred)
  • Databricks Certificate (preferred)

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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