Data Engineer

Greetings,

We have an immediate vacancy for a Data Engineer with 7+ years of experience at Synechron, based in Dubai.

Job Roles:

• Senior Data Engineer (Pyspark - Data Modelling)
• Data Engineer (Pyspark - Data Modelling)
• Data Engineer (Pyspark - Informatica BDM)
• Senior Data Engineer (PySpark - Python)

About Company:

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering.

Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.

Synechron: Technology and AI Consulting for Business

Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.

Diversity, Equity, and Inclusion

Synechron's Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.

We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn't matter where you're from or what you've had to do to get here if you have the skills, enthusiasm, and drive to make your mark, we'll support you like we support each other. Choose a career with us and let's pursue innovation, together.

Job Descriptions:

About the Role:

We are seeking a highly skilled Data Engineer with deep expertise in PySpark and the Cloudera Data Platform (CDP) to join our data engineering team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines that ensure high data quality and availability across the organization. This role requires a strong background in big data ecosystems, cloud-native tools, and advanced data processing techniques.

The ideal candidate has hands-on experience with data ingestion, transformation, and optimization on the Cloudera Data Platform, along with a proven track record of implementing data engineering best practices. You will work closely with other data engineers to build solutions that drive impactful business insights.

Responsibilities:

• Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy.
• Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP.
• Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements.
• Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes.
• Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline.
• Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem.
• Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes.
• Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives.
• Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations.

Education and Experience:

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.

Technical Skills:

• PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques.
• Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase.
• Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala).
• Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools.
• Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks.
• Scripting and Automation: Strong scripting skills in Linux.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent verbal and written communication abilities.
• Ability to work independently and collaboratively in a team environment.
• Attention to detail and commitment to data quality