Data Engineer – Hadoop, Spark, Java/Scala/Python, NoSQL & Big Data Analytics Expert

Job Summary
Synechron is looking for a talented Data Engineer to design, develop, and maintain scalable big data solutions that support strategic business goals. This role involves managing big data environments, analyzing large datasets for actionable insights, and collaborating across teams to integrate solutions. The Data Engineer will ensure data accuracy and quality through robust control processes and provide technical expertise to support big data infrastructure and applications.

Software Requirements

• Required:

  • Big data frameworks: Hadoop, Spark

  • Big data processing and analysis tools: MapReduce, Hive, Pig

  • Programming languages: Java, Scala, Python

  • NoSQL databases: Apache Cassandra, HBase, or similar

• Preferred:

  • Data visualization and reporting tools: Tableau, Power BI

  • Cloud big data platforms: AWS EMR, Azure HDInsight, or Google Cloud Dataproc

Overall Responsibilities

• Design and implement big data solutions aligned with business requirements and scalability goals

• Manage and optimize big data clusters, storage, and environment configurations

• Analyze complex datasets to extract trends, patterns, and business insights

• Work collaboratively with cross-functional teams to integrate big data solutions with existing systems

• Develop and enforce data quality checks to maintain data reliability and completeness

• Troubleshoot technical issues and provide ongoing maintenance for big data platforms

Technical Skills (By Category)

• Programming Languages:

  • Essential: Java, Scala, Python

• Databases/Data Management:

  • Essential: Hadoop ecosystem components, NoSQL databases

  • Preferred: SQL querying skills for data validation

• Cloud Technologies:

  • Preferred: Familiarity with AWS, Azure, or Google Cloud big data services

• Frameworks and Libraries:

  • Essential: MapReduce, Hive, Pig

• Development Tools and Methodologies:

  • Agile development methodologies preferred

• Security Protocols:

  • Basic knowledge of data security and governance best practices

Experience Requirements

• 4+years (specify as needed) of experience in big data engineering or analytics roles

• Proven success delivering big data projects with scalable solutions

• Experience managing distributed data processing technologies

• Ability to work independently and collaboratively within teams

• Industry experience is a plus but not mandatory

Day-to-Day Activities

• Architecting and building data pipelines and big data processing workflows

• Maintaining cluster health and fine-tuning performance

• Collaborating with data scientists, analysts, and business partners

• Monitoring data quality and quickly addressing issues

• Participating in Agile ceremonies and technical discussions

• Supporting production environments and incident response

Qualifications

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field, or equivalent experience

• Professional certifications in big data technologies or cloud platforms considered a plus

• Commitment to continuous learning and adaptation to evolving technologies

Professional Competencies

• Strong analytical and critical thinking skills

• Effective teamwork and communication across diverse stakeholders

• Adaptability in dynamic project and technology environments

• Innovative problem-solving mindset

• Excellent time management and prioritization abilities

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.

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