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Big Data Engineer
Synechron
posted 4d ago
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Flexible timing
Key skills for the job
Job Description
We are seeking a highly skilled Big Data Engineer to lead the design and implementation of robust big data solutions. The ideal candidate will have extensive experience with big data technologies and a strong background in data processing and analytics. This role requires leadership skills to mentor a team of engineers and ensure high-quality deliverables.
- Architectural Design: Lead the design and architecture of big data solutions using HDFS, Spark with Scala, and other technologies to meet organizational needs.
- Team Leadership: Mentor and manage a team of data engineers, providing guidance and support to ensure successful project delivery.
- Data Processing Development: Develop and optimize data processing workflows utilizing Apache Spark and Scala, ensuring scalability and performance.
- Database Management: Use HBase and SQL for efficient data storage and retrieval, and oversee data ingestion processes using Sqoop.
- Scripting & Automation: Create shell scripts and Java applications to automate data processing tasks and streamline workflows.
- Collaboration: Work closely with cross-functional teams, including data scientists and business analysts, to gather requirements and translate them into technical solutions.
- Documentation: Maintain comprehensive technical documentation, including architecture diagrams, data flow diagrams, and operational procedures.
- Performance Tuning: Analyze existing big data infrastructure and recommend optimizations for performance and cost efficiency.
- Optional Technologies: Integrate optional technologies such as Apache Kafka, Akka HTTP, and TeamCity as needed.
Technical Skills:
Primary Skills:
- HDFS: Expertise in Hadoop Distributed File System for data storage and management.
- Apache Spark with Scala: Strong experience in using Apache Spark with Scala for big data processing, with a focus on functional programming.
- HBase: Proficiency in HBase for NoSQL database solutions.
- SQL: Ability to write complex SQL queries for data manipulation and analysis.
- Sqoop: Familiarity with Sqoop for data import/export between HDFS and relational databases.
- Shell Scripting: Competence in writing shell scripts for process automation.
- Java (Core): Solid understanding of core Java concepts.
Optional Skills:
- Apache Kafka: Experience with Kafka for real-time data streaming and processing.
- Akka HTTP: Knowledge of Akka HTTP for building RESTful services.
- TeamCity: Familiarity with TeamCity for continuous integration and deployment.
- U-deploy: Knowledge of U-deploy for deployment automation and orchestration.
- Autosys: Experience with Autosys for job scheduling and management.
- SBT: Familiarity with Scala Build Tool (SBT) for managing Scala projects.
Good to Have:
- Pivotal Gemfire: Experience with Pivotal Gemfire for in-memory data grid solutions.
Experience:
- At least 6 + years of experience in big data engineering or a related field.
- Proven track record of designing and implementing big data solutions in production environments.
- Experience leading technical teams and mentoring junior engineers.
Day-to-Day Activities:
- Conduct daily stand-up meetings to discuss project progress and challenges.
- Develop, test, and maintain data processing workflows and pipelines.
- Collaborate with product managers and data scientists to define data requirements and objectives.
- Monitor data processing jobs for performance and troubleshoot issues as they arise.
- Review code from team members and provide constructive feedback to ensure adherence to best practices.
- Stay updated on industry trends and emerging technologies in big data.
Qualifications:
- Bachelor s or Master s degree in Computer Science, Information Technology, or a related field.
- Relevant certifications in big data technologies or cloud platforms are a plus.
Soft Skills:
- Strong leadership and mentoring abilities.
- Excellent communication and interpersonal skills.
- Analytical and problem-solving mindset with attention to detail.
- Adaptability and a willingness to learn new technologies.
- Strong organizational skills with the ability to manage multiple priorities.
Employment Type: Full Time, Permanent
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What people at Synechron are saying
Big Data Engineer salary at Synechron
reported by
18
employees
with 2-11
years exp.
₹7.2
L/yr - ₹27
L/yr
59%
more
than the average Big Data Engineer Salary in India
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What Synechron employees are saying about work life
based on 2.7k employees
Flexible timing
Monday to Friday
No travel
Day Shift
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Synechron Pune Office Location
Pune, Maharashtra Office
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Synechron Technologies Private Limited
CEDAR Building, Ascendas IT Park, Rajiv Gandhi Infotech Park, Hinjewadi Phase III Pune 411057
Pune, Maharashtra
411057
411057
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