Associate Data Engineer

Amgen Technology; Hyderabad; In loco; INR 1.200.000 - 2.000.000; Tempo pieno

Descrizione del lavoro

Amgen Technology in Hyderabad is seeking a data engineer who designs, builds, and maintains data pipelines, analyzes large datasets, and develops scalable ETL solutions using Databricks and PySpark. You will collaborate with data scientists and product teams to ensure data quality, implement governance, and visualize data for decision making across the business.

Experience with AWS data services and SQL databases is valued; the role emphasizes data architecture and data governance in a

Competenze

• Hands-on experience with Databricks and PySpark in ETL workflows.
• Strong SQL skills and experience with relational databases.
• Familiarity with big data frameworks like Hadoop, Spark, and Kafka.

Mansioni

• Design, build, and maintain data pipelines and ETL processes.
• Collaborate with cross-functional teams to define data requirements.
• Implement data governance, security, and data quality measures.
• Create and maintain data models and dictionaries.
• Provide actionable insights through dashboards and reports.

Conoscenze

Python

PySpark

SQL

Scala

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Databricks

Apache Hadoop

Apache Spark

Kafka

PostgreSQL

MySQL

AWS

S3

EMR

Redshift

Descrizione del lavoro

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:

• Bachelors 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