Data Engineer (GCP & Spark Expertise)

 Job Summary 
Synechron is seeking a highly skilled and proactive Data Engineer to join our dynamic data analytics team. In this role, you will be instrumental in designing, developing, and maintaining scalable data pipelines and solutions on the Google Cloud Platform (GCP). With your expertise, you'll enable data-driven decision-making, contribute to strategic business initiatives, and ensure robust data infrastructure. This position offers an opportunity to work in a collaborative environment with a focus on innovative technologies and continuous growth.
 Software Requirements 
Required:

Proficiency in Data Engineering tools and frameworks such as
Hive,
Apache Spark, and
Python (version 3.x)

Extensive experience working with
Google Cloud Platform (GCP) offerings including Dataflow, BigQuery, Cloud Storage, and Pub/Sub

Familiarity with
Git,
Jira, and
Confluence for version control and collaboration

Preferred:

Experience with additional GCP services like DataProc, Data Studio, or Cloud Composer

Exposure to other programming languages such as Java or Scala

Knowledge of data security best practices and tools

 Overall Responsibilities 

Design, develop, and optimize scalable data pipelines on GCP to support analytics and reporting needs

Collaborate with cross-functional teams to translate business requirements into technical solutions

Build and maintain data models, ensuring data quality, integrity, and security

Participate actively in code reviews, adhering to best practices and standards

Develop automated and efficient data workflows to improve system performance

Stay updated with emerging data engineering trends and continuously improve technical skills

Provide technical guidance and support to team members, fostering a collaborative environment

Ensure timely delivery of deliverables aligned with project milestones

 Technical Skills (By Category) 
Programming Languages:

EssentialPython (required)

PreferredJava, Scala

Data Management & Databases:

Experience with Hive, BigQuery, and relational databases

Knowledge of data warehousing concepts and SQL proficiency

Cloud Technologies:

Extensive hands-on experience with GCP services including Dataflow, BigQuery, Cloud Storage, Pub/Sub, and Composer

Ability to build and optimize data pipelines leveraging GCP offerings

Frameworks & Libraries:

Spark (PySpark preferred), Hadoop ecosystem experience is advantageous

Development Tools & Methodologies:

Agile/Scrum methodologies, version control with Git, project tracking via JIRA, documentation on Confluence

Security Protocols:

Understanding of data security, privacy, and compliance standards

 Experience Requirements 

Minimum of
6-8 years in data or software engineering roles with a focus on data pipeline development

Proven experience in designing and implementing data solutions on cloud platforms, particularly GCP

Prior experience working in agile teams, participating in code reviews, and delivering end-to-end data projects

Experience working with cross-disciplinary teams and understanding varied stakeholder requirements

Exposure to industry best practices for data security, governance, and quality assurance is desired

 Day-to-Day Activities 

Attend daily stand-up meetings and contribute to project planning sessions

Collaborate with business analysts, data scientists, and other stakeholders to understand data needs

Develop, test, and deploy scalable data pipelines, ensuring efficiency and reliability

Perform regular code reviews, provide constructive feedback, and uphold coding standards

Document technical solutions and maintain clear records of data workflows

Troubleshoot and resolve technical issues in data processing environments

Participate in continuous learning initiatives to stay abreast of technological developments

Support team members by sharing knowledge and resolving technical challenges

 Qualifications 

Bachelor's or Masters degree in Computer Science, Information Technology, or a related field

Relevant professional certifications in GCP (such as Google Cloud Professional Data Engineer) are preferred but not mandatory

Demonstrable experience in data engineering and cloud technologies

 Professional Competencies 

Strong analytical and problem-solving skills, with a focus on outcome-driven solutions

Excellent communication and interpersonal skills to effectively collaborate within teams and with stakeholders

Ability to work independently with minimal supervision and manage multiple priorities effectively

Adaptability to evolving technologies and project requirements

Demonstrated initiative in driving tasks forward and continuous improvement mindset

Strong organizational skills with a focus on quality and attention to detail

S
YNECHRONS 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 applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .Candidate Application Notice