Associate Specialist Big Data

Big Data Developer

Software Requirements:

• Proficient in big data technologies, particularly Hadoop and Spark.
• Familiarity with NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with data integration tools and techniques.

Overall Responsibilities:

• Data Management: Collect, process, and analyze large datasets to derive meaningful insights that support business objectives.

• Big Data Technologies: Utilize big data frameworks and tools such as Hadoop and Spark for data processing and analysis.

• Data Integration: Integrate data from diverse sources to create a comprehensive, unified view that enhances data-driven decision-making.

• Performance Optimization: Optimize data processing workflows to ensure efficiency, scalability, and high performance of data operations.

• Collaboration: Collaborate effectively with data scientists, analysts, and other stakeholders to understand data needs and deliver appropriate solutions.

Category-wise Technical Skills:

• Big Data Technologies: Proficiency with Hadoop and Spark ecosystems.

• Programming Languages: Skilled in programming languages such as Python and Java for data manipulation and processing.

• Data Querying: Experience with SQL for data retrieval and analysis from various databases.

• Data Integration Tools: Familiarity with ETL processes and tools.

Experience: A minimum of 7 years of experience in data management, data engineering, or a related field.

Day-to-Day Activities:

• Collecting and cleaning large datasets from various sources.
• Developing and optimizing batch and real-time data processing workflows.
• Collaborating with cross-functional teams to gather requirements and deliver data solutions.
• Conducting performance tuning and troubleshooting of data processing applications.
• Documenting processes, workflows, and architectures for data solutions.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Proven experience in big data technologies and data management.

Soft Skills:

• Strong analytical and problem-solving skills to navigate complex datasets.
• Excellent communication skills, capable of explaining technical concepts to non-technical stakeholders.
• Team-oriented with a collaborative mindset to work effectively with cross-functional teams.
• Detail-oriented with a strong commitment to data quality and governance.

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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