Engineering

Senior Big Data Engineer

Raleigh, USA

Our Challenge

As a Senior Big Data Engineer, you will work on high impact and high visibility projects that enable data availability, encompass data analytics, machine learning, and petabyte scale datasets, and provide reliable and timely access to thousands of data sources. You should have previous experience in building scalable enterprise analytics or data-centric solutions and be comfortable leading a team.

Responsibilties

  • Design, architect and support new and existing data and ETL pipelines and recommend improvements and modifications 
  • Create optimal data pipeline architecture and systems using Apache Airflow 
  • Assemble large, complex data sets that meet functional and non-functional business requirements 
  • Be responsible for ingesting data into our data lake and providing frameworks and services for operating on that data, including the use of Spark & Databricks 
  • Analyze, debug and correct issues with data pipelines 
  • Operate on or build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Spark and Azure technologies 

Requirements

You are:

  • A graduate with a Bachelor of Science degree in Computer Science/Software Engineering (or have equivalent experience) 
  • Equipped with 8+ years of experience building high performance scalable enterprise analytics or data-centric solutions 
  • Equipped with 5+ years of experience implementing complex ETL pipelines, preferably in connection with Hadoop or Spark 
  • Experienced in working with Spark data pipeline and/or streaming experience 
  • Exceptionally skilled in coding and design in Java/Scala or C# 
  • An expert in Python, or can demonstrate the ability to learn new languages (and are passionate about learning them) 
  • Understanding of the nature of distributed systems design 
  • Highly experienced with Azure 
  • Highly understanding of, and able to use, algorithms and data structures 
  • Able to work well in a team environment and are a self-starter 
  • Able to lead or have led teams before 
  • An expert in building and managing Python libraries  

It would be great if you also had:

  • Azure Data Lake experience 
  • Machine Learning expertise 
  • Experience with Apache Airflow 
  • Experience with C# .NET Core 
  • Experience with traditional data marts/warehouses 

We Can Offer You

  • A highly competitive compensation and benefits package  
  • A multinational organization with offices in 17 global locations and the possibility to work abroad  
  • Laptop and a mobile phone  
  • 15 days of paid annual leave  
  • Maternity & Paternity leave plans  
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability  
  • Retirement savings plans  
  • A higher education certification policy  
  • Commuter benefits  
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development  
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses   
  • Coaching opportunities with experienced colleagues from our FinLabs and Center of Excellences (CoE) groups   
  • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms  
  • A flat and approachable organization  
  • An excellent working atmosphere: regular drinks, sports activities, offsite weekends with a young, dynamic team  
  • A truly diverse, fun-loving and global work culture  

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 empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs.

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.

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