Hadoop Developer

Synechron; Pittsburgh (Allegheny County); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Global opportunities

Training opportunities

Udemy for Business access

Job summary

Synechron in Pittsburgh seeks an experienced Hadoop Developer to design, develop, and maintain scalable big-data solutions for financial services applications. The role requires hands-on work with Hadoop ecosystem (HDFS, Spark, Hive, MapReduce, YARN) and ETL/ELT pipelines, plus strong Java/Scala/Python skills and SQL proficiency.

Competitive compensation and global opportunities are offered. You'll collaborate with data engineers, analysts, and application teams to ensure data quality, security,

Qualifications

• Bachelor’s degree in computer science, information technology, engineering, or related field.
• Hands-on Hadoop/big-data development experience.
• Proficiency with HDFS, Spark, Hive, MapReduce, YARN, Sqoop, Kafka, Flume, and HBase or similar NoSQL.
• Strong programming skills in Java, Scala, or Python; strong SQL; experience with batch and real-time pipelines.
• Linux/Unix shell scripting and familiarity with Git, CI/CD, Oozie, Airflow, or Control-M.

Responsibilities

• Design, develop, and maintain robust data pipelines using Hadoop ecosystem.
• Develop distributed data-processing solutions with Spark, Hive, MapReduce, and HBase.
• Ingest, transform, and process data from multiple sources; optimize ETL/ELT workflows.
• Collaborate with analysts, data architects, and app teams on data requirements.
• Ensure data quality, security, and compliance; troubleshoot production issues.

Skills

Hadoop

HDFS

Apache Spark

Hive

MapReduce

YARN

Kafka

SQL

Python

Java/Scala

Education

Bachelor’s degree in CS/IT/Engineering

Tools

Git

CI/CD

Oozie

Airflow

Control-M

Job description

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000, and has 58 offices in 22 countries within key global markets.

We are seeking an experienced Hadoop Developer to design, develop, and maintain scalable big-data solutions supporting banking and financial services applications. The ideal candidate will have strong expertise in the Hadoop ecosystem, data engineering, and distributed processing, along with an understanding of banking data, regulatory requirements, and financial products.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Pittsburgh, PA/Dallas, TX is $110k - $120k/year & benefits (see below).

the Role

Responsibilities:

• Design, develop, and maintain robust data pipelines using Hadoop and related technologies.
• Develop distributed data-processing solutions using Apache Spark, Hive, MapReduce, and HBase.
• Ingest, transform, and process structured and unstructured data from multiple sources.
• Build and optimize ETL/ELT workflows for large-scale data platforms.
• Work with business analysts, data architects, and application teams to understand data requirements.
• Implement data quality, validation, reconciliation, and monitoring processes.
• Optimize Hadoop jobs, Spark applications, SQL queries, and cluster performance.
• Develop reusable frameworks and components for data ingestion and processing.
• Ensure data security, access control, encryption, and compliance with organizational standards.
• Troubleshoot production issues and provide root-cause analysis.
• Create technical documentation, data flow diagrams, and operational procedures.
• Participate in code reviews, testing, deployment, and production support activities.

Requirements:

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
• Experience in Hadoop or big-data development.
• Hands‑on experience with Hadoop Distributed File System (HDFS), Apache Spark, Hive, MapReduce, YARN, Sqoop, Kafka, Flume, or similar ingestion tools and HBase or another NoSQL database
• Strong programming skills in Java, Scala, or Python.
• Excellent SQL skills and experience with relational databases.
• Experience developing batch and/or real‑time data pipelines.
• Knowledge of Linux/Unix shell scripting.
• Experience with workflow and scheduling tools such as Apache Oozie, Airflow, or Control‑M.
• Familiarity with Git, CI/CD, automated testing, and Agile development practices.
• Strong analytical, troubleshooting, and communication skills.

Preferred Skills:

• Experience working in banking, financial services, fintech, or insurance.
• Experience with cloud big-data platforms such as AWS EMR, Azure HDInsight/Databricks, or Google Dataproc.
• Knowledge of Snowflake, Delta Lake, Kafka, Kubernetes, or Terraform.
• Experience with data catalog and governance tools.
• Familiarity with real‑time streaming and event‑driven architectures.
• Relevant certifications in Hadoop, Spark, AWS, Azure, or Databricks.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• 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 Financial Innovation Labs (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.
• A truly diverse, fun-loving, and global work culture.

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.