Amgen

AssociateDataEngineer

Madurai, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Associate Data Engineer at Amgen. Skills: Databricks, Spark, Delta Lake, ETL, Python, SQL, big data technologies, data pipelines. designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. working with large datasets”

What You'll Achieve.

provide actionable insights that drive business decisions; ensure data is accessible, reliable, and efficiently managed

Industry & Context.

Problems you'll solve

Excellent problem-solving and analytical skills; Identify and resolve complex data-related challenges

What They're Looking For.

Must Have

Master's or Bachelor's degree in Computer Science, IT or related field, 3 to 6 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, 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, programming skills in Python, PySpark, and SQL, understanding of data modeling, entity relationships

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, Databricks, cloud data platforms, Good 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)

What You'll Do.

and interpreting data to provide actionable insights that drive business decisions

working with large datasets

supporting and executing data initiatives

visualizing data to ensure data is accessible

and efficiently managed

and optimize data pipelines/workflows using Databricks (Spark

Delta Lake) for ingestion

and processing of large-scale data

Build ETL pipeline with Informatica or other ETL tools

Support data governance and metadata management

Identify and resolve complex data-related challenges

Adhere to best practices for coding

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

How You'll Work.

Team & Collaboration

Collaborate with Data Architects, Business SMEs, and Data Scientists to design and develop end-end data pipelines to meet fast paced business needs across geographic regions; Team-oriented with a proactive and collaborative mindset

Communication Scope

communication and interpersonal abilities

Process & Methodology

Ability to prioritize tasks and work under pressure

Full Job Description

## **Career Category** Project Management ## ## **Job Description** **Associate Data Engineer** **What you will do** Let’s do this. Let’s change the world. In this vital role as Associate Data Engineer at Amgen you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data initiatives and, visualizing data to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes * 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. * 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 data-related 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 **What we expect of you** We are all different, yet we all use our unique contributions to serve patients. **Basic Qualifications:** * Master’s/Bachelor’s degree and 3 to 6 years of Computer Science, IT or related field experience **Preferred

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