Synechron
Hadoop & ETL Developer (Production Support)
Base pay range $100,000.00/yr - $110,000.00/yr Role: Hadoop & ETL Developer (Production Support) We are seeking an experienced Hadoop & ETL Developer with strong production support expertise to join our team. The ideal candidate will be responsible for designing, developing, and supporting big data solutions in a challenging environment, ensuring high availability, reliability, and performance of data pipelines in production. Responsibilities Support and maintain production (Level 3) data pipelines, troubleshoot issues, and resolve technical problems in real-time. Understand system design, propose high-level and detailed technical solutions, and suggest innovative out-of-the-box approaches to solve business and technical challenges. Engage in discussions with the Information Architecture team for design solutions, technology adoption, and requirements gathering. Collaborate with near-shore and offshore teams, support functions like L2, development, testing, and upstream/downstream partners. Contribute to BAU support activities such as analysis, coding, proposing improvements, and driving development remotely. Work on multiple concurrent projects, demonstrating ownership and pride in deliverables. Attend project meetings, understand client requirements, and translate them into technical designs and code. Be flexible to work on weekends (at least once a month) with available compensatory time off during weekdays. Quickly analyze and resolve production issues to minimize downtime. Partner with Business Analysts for requirement understanding and translating business needs into technical solutions. Identify gaps in technology solutions and recommend improvements to enhance system efficiency and stability. Ensure adherence to quality, process, and governance standards.
Requirements
Primary Skill: Hadoop ecosystem (HDFS, Hive, Impala, Spark, Oozie, Yarn, Sqoop, Flume, Hue) Secondary Skill: Spark Tertiary Skill: Python Experience with ETL tools such as Informatica, SSIS, or similar. 6+ years of hands?on experience developing, running, and troubleshooting Hadoop and big data applications. Proficient in scripting (Unix Shell, Perl scripting). Experience with job scheduling tools like Autosys JIL scripting. Strong troubleshooting skills for data?related issues in large?scale environments. Experience processing structured and unstructured data with frameworks like MapReduce. SQL expertise for data extraction, transformation, and database operations. Familiarity with data movement, transformation, and integration technologies. Knowledge of the end?to?end data architecture, including upstream/downstream processes, data distribution, and database models is a plus. Experience working with Kafka, Pig, Hive, and related tools.
We offer
A highly competitive compensation and benefits package A multinational organization with 58 offices in 21 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 Excellence (CoE) groups Cutting?edge projects at the worlds leading tier?one banks, financial institutions, and insurance firms A flat and approachable organization A truly diverse, fun?loving and global work culture
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. #J-18808-Ljbffr
Base pay range $100,000.00/yr - $110,000.00/yr Role: Hadoop & ETL Developer (Production Support) We are seeking an experienced Hadoop & ETL Developer with strong production support expertise to join our team. The ideal candidate will be responsible for designing, developing, and supporting big data solutions in a challenging environment, ensuring high availability, reliability, and performance of data pipelines in production. Responsibilities Support and maintain production (Level 3) data pipelines, troubleshoot issues, and resolve technical problems in real-time. Understand system design, propose high-level and detailed technical solutions, and suggest innovative out-of-the-box approaches to solve business and technical challenges. Engage in discussions with the Information Architecture team for design solutions, technology adoption, and requirements gathering. Collaborate with near-shore and offshore teams, support functions like L2, development, testing, and upstream/downstream partners. Contribute to BAU support activities such as analysis, coding, proposing improvements, and driving development remotely. Work on multiple concurrent projects, demonstrating ownership and pride in deliverables. Attend project meetings, understand client requirements, and translate them into technical designs and code. Be flexible to work on weekends (at least once a month) with available compensatory time off during weekdays. Quickly analyze and resolve production issues to minimize downtime. Partner with Business Analysts for requirement understanding and translating business needs into technical solutions. Identify gaps in technology solutions and recommend improvements to enhance system efficiency and stability. Ensure adherence to quality, process, and governance standards.
Requirements
Primary Skill: Hadoop ecosystem (HDFS, Hive, Impala, Spark, Oozie, Yarn, Sqoop, Flume, Hue) Secondary Skill: Spark Tertiary Skill: Python Experience with ETL tools such as Informatica, SSIS, or similar. 6+ years of hands?on experience developing, running, and troubleshooting Hadoop and big data applications. Proficient in scripting (Unix Shell, Perl scripting). Experience with job scheduling tools like Autosys JIL scripting. Strong troubleshooting skills for data?related issues in large?scale environments. Experience processing structured and unstructured data with frameworks like MapReduce. SQL expertise for data extraction, transformation, and database operations. Familiarity with data movement, transformation, and integration technologies. Knowledge of the end?to?end data architecture, including upstream/downstream processes, data distribution, and database models is a plus. Experience working with Kafka, Pig, Hive, and related tools.
We offer
A highly competitive compensation and benefits package A multinational organization with 58 offices in 21 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 Excellence (CoE) groups Cutting?edge projects at the worlds leading tier?one banks, financial institutions, and insurance firms A flat and approachable organization A truly diverse, fun?loving and global work culture
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. #J-18808-Ljbffr