Associate Data Engineer

Amgen Inc. (IR); Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Amgen Inc. (IR) in Hyderabad seeks an Associate Data Engineer to design, build, and maintain data solutions for collection, processing, and analytics.

You will develop ETL/ELT pipelines, ensure data quality, and support data governance initiatives while enabling reliable visualization and accessible insights for business decisions. The role requires strong Databricks, Python, PySpark, and SQL skills, experience with cloud platforms (AWS), and collaboration with data scientists and product teams

Qualifications

• Proficiency in Databricks, Python, PySpark, and SQL for ETL workflows.
• Strong SQL knowledge with PostgreSQL or MySQL.
• Experience with Hadoop, Spark, and Kafka for large datasets.

Responsibilities

• Design, develop, and maintain data pipelines for large data sets.
• Ensure data quality and governance across systems.
• Collaborate with data scientists and engineers across regions.
• Implement scalable ETL/ELT processes on cloud platforms.

Skills

Databricks

Python

PySpark

Scala

SQL

PostgreSQL

MySQL

Hadoop

Spark

Kafka

AWS cloud services

Education

Bachelor’s degree in Computer Science / IT / related field

Tools

Databricks

Hadoop

Spark

Kafka

PostgreSQL

MySQL

AWS (S3, EMR, Glue)

Job description

## Associate Data EngineerApply: On Site: India - Hyderabad: Full time: Posted Today: R-253369## **Career Category**Information Systems## ## **Job Description****Role Description:**The role is 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 governance 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**Roles & Responsibilities:*** Design, develop, and maintain data solutions for data generation, collection, and processing* Be a key team member that assists in design and development of the data pipeline* Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems* Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions* Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks* Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs* Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency* Implement data security and privacy measures to protect sensitive data* Very good understanding of Databricks* Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions* Collaborate and communicate effectively with product teams* 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* Explore new tools and technologies that will help to improve ETL platform performance* Participate in sprint planning meetings and provide estimations on technical implementation**Basic Qualifications and Experience:*** Bachelor’s degree and 2 to 4 years of Computer Science, IT or related field experience**Functional Skills:****Must-Have Skills*** Proficiency in Databricks ,Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing* Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases.* Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets.**Good-to-Have Skills:*** Experience with cloud platforms such as AWS particularly in data services (e.g., EKS, EC2, S3, EMR, RDS, Redshift/Spectrum, Lambda, Glue, Athena)* Understanding of data modeling, data warehousing, and data integration concepts* Understanding of machine learning pipelines and frameworks for ML/AI models.