Big Data Professional (Hadoop, Spark, and NoSQL)

Job Summary:

We are seeking a highly skilled Big Data Professional with expertise in Hadoop, Spark, and NoSQL technologies. The ideal candidate will possess strong proficiency in SQL, experience with HIVE, familiarity with SQOOP, and a solid understanding of performance optimization techniques. This role requires collaboration with data scientists, analysts, and business stakeholders to design and maintain robust data pipelines that support our analytics and reporting needs.

Software Requirements:

• Strong proficiency in SQL
• Experience with HIVE
• Familiarity with SQOOP
• Knowledge of SPARK is a plus
• Experience in performance optimization techniques
• Proficiency in on-premises solutions, especially with Azure
• Familiarity with Cloudera and HortonWorks platforms

Overall Responsibilities:

• Design, develop, and maintain data pipelines and ETL processes to support data analytics and reporting needs.
• Ensure data integrity and quality throughout the data lifecycle.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver efficient solutions.
• Optimize database performance and troubleshoot issues related to data storage and retrieval.
• Stay updated on industry trends and emerging technologies to continuously enhance data architecture and operations.

Technical Skills:

Database Technologies:

• SQL (Must-have)
• HIVE (Must-have)
• SQOOP (Must-have)
• SPARK (Preferred)

Performance Optimization: Techniques for optimizing data processing and query performance.

Cloud Technologies: Azure (on-premises focus)

Big Data Platforms:

• Cloudera
• HortonWorks

Experience:

• 6-14 years of experience in data engineering or a related field.
• Proven experience with database management and data warehousing.
• Familiarity with big data technologies and cloud-based solutions is an advantage.

Day-to-Day Activities:

• Develop and maintain data pipelines from various sources to databases.
• Monitor data flows and troubleshoot issues in real-time.
• Collaborate with stakeholders to gather requirements and deliver actionable insights.
• Conduct data quality checks and performance optimizations on existing systems.
• Participate in team meetings to discuss project progress and share knowledge.

Qualifications: Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree is a plus.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and as part of a team.
• Adaptability to changing technologies and methodologies.

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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