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Job Description

Software Requirements: Informatica, Big Data Technologies (Hive, Spark), SQL and NoSQL databases, Oozie Scheduling, Linux OS and Shell Scripting & Agile, DevOps, CI/CD (GitHub, Jenkins)


Note: We are looking for candidates who can join immediately or have a maximum notice period of 15 days


Overall Responsibilities:
  • Design and develop ETL jobs using Informatica Big Data Management.
  • Manage and optimize data workflows using Oozie and ensure efficient data partitioning and storage within HDFS.
  • Implement and troubleshoot complex SQL queries and NoSQL data storage solutions.
  • Collaborate with cross-functional teams to integrate and manage distributed services.
  • Analyze and address security requirements within data transfer processes, including establishing security controls.
  • Adhere to industry best practices and organizational policies regarding data handling and integrity.
  • Mentor junior team members and share best practices across teams.
Category-wise Technical Skills:
  • Data Management:


    • Expertise in Informatica for ETL processes and data integration.
    • Proficient in querying and manipulating data using SQL and HQL.
    • Familiarity with NoSQL databases.
  • Big Data Technologies:


    • Strong knowledge of Big Data frameworks such as Hive and Spark.
    • Experience with Oozie scheduling and HDFS operations.
  • DevOps and CI/CD:


    • Hands-on experience with GitHub and Jenkins for continuous integration and deployment.
    • Understanding of Agile methodology for software development.
  • Security Management:


    • Experience in designing security systems and implementing security protocols in data architectures.
    • Knowledge of data sensitivity and compliance requirements.
  • Operating Systems: Proficient in Linux OS configurations and shell scripting.


Experience:
  • Minimum 4+ years of experience in development and design, specifically with Informatica Big Data Management.
  • Demonstrated experience in managing distributed services and data processing environments.
  • Background in the banking or financial sector is preferred.
Day-to-Day Activities:
  • Develop and maintain ETL Pipelines for large datasets.
  • Conduct regular code reviews and performance tuning of data processing jobs.
  • Collaborate in daily stand-ups and sprint planning sessions to ensure team alignment.
  • Engage with stakeholders to gather requirements and ensure that architectures support business goals.
  • Participate in incident resolution and rotations to maintain system uptime and reliability.
Qualifications:
  • Bachelor's degree in Computer Science or a related field.
  • Postgraduate degree in related disciplines is a plus.
  • Equivalent industry experience will be considered.
Soft Skills:
  • Excellent interpersonal and communication skills for engaging with team members and stakeholders.
  • Strong listening skills and the ability to articulate technical concepts clearly.
  • Positive attitude towards work with a focus on team collaboration and trust.
  • Enthusiastic team player who fosters a motivating and productive work environment.
  • Ability to work independently and drive initiatives without supervision

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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