AWS Data Engineer – Python, PySpark/Scala & Teradata

Overview

AWS Data Engineer – Python, PySpark/Scala & Teradata

Your Skills and Experience

• 5–8 years of experience in design or development within Analytics and Data Warehousing projects.
• Hands-on experience in building end-to-end solutions using Big Data platforms, Spark, or Scala programming.
• 5+ years of solid experience in developing ETL pipelines using Spark or Scala, along with strong working knowledge of UNIX Shell Scripting, Oracle SQL, and PL/SQL.
• Experience in building data pipelines on AWS cloud ecosystem, leveraging native AWS services.
• Knowledge of Python and exposure to additional programming languages is highly recommended.
• Experience in building AI/GenAI-powered engineering applications is highly valued.
• Practical exposure to GenAI frameworks such as LangChain, Llama, and Hugging Face, along with automation applications, is highly desirable.
• Strong experience with Oracle SQL, including database programming, SQL performance tuning, and relational data modeling.
• Extensive experience working with Teradata data warehouses and Cloudera Hadoop.
• Proficiency across a broad range of Enterprise Analytics / BI / DW / ETL technologies, including:
• Teradata Control Framework
• Tableau
• OBIEE
• SAS
• Apache Spark
• Hive

Your Responsibilities

You will be expected to perform the following tasks and responsibilities:

Core Responsibilities

• Understand customer business objectives and design end-to-end data-centric solutions to address their needs.
• Lead or participate in defining, executing, and communicating ETL strategies and technical solutions.
• Develop data staging, data architecture components, and consume internal and external application interfaces.
• Collaborate with business users, operational teams, data management groups, and infrastructure partners to ensure adherence to guidelines, restrictions, requirements, and industry best practices.
• Participate across the full Agile project lifecycle — from ideation through implementation.
• Design technical solutions and consumption patterns for business requirements of increasing complexity.
• Deliver high-quality, sustainable technology solutions aligned with approved delivery frameworks.
• Ensure that solutions are robust, secure, and highly available.
• Promote and apply industry best practices to continuously uplift technical quality.
• Demonstrate and encourage a continuous improvement mindset within teams and projects.
• Contribute to delivery planning, providing guidance to ensure technical deliveries align with engineering direction and strategy.

S YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.