Prospective - Analytics Platform

Important Information

Location: Chennai

Experience: 8+ years

Job Mode: Full-time

Job Summary:

Lead Data Eng with Scala, Spark, Pyspark & Databricks

Skills

Job Title: Data Engineer (Scala, Spark, Pyspark, Databricks)

Responsibilities:

• Design, develop, and maintain robust and scalable data pipelines using Apache Spark and Scala on the Databricks platform.
• Implement ETL (Extract, Transform, Load) processes for various data sources, ensuring data quality, integrity, and efficiency.
• Optimize Spark applications for performance and cost-efficiency within the Databricks environment.
• Work with Delta Lake for building reliable data lakes and data warehouses, ensuring ACID transactions and data versioning.
• Collaborate with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions.
• Implement data governance and security best practices within Databricks.
• Troubleshoot and resolve data-related issues, ensuring data availability and reliability.
• Stay updated with the latest advancements in Spark, Scala, Databricks, and related big data technologies.
  
  

Required Skills and Experience:

• Proven experience as a Data Engineer with a strong focus on big data technologies.
• Expertise in Scala programming language for data processing and Spark application development.
• In-depth knowledge and hands-on experience with Apache Spark, including Spark SQL, Spark Streaming, and Spark Core.
• Proficiency in using Databricks platform features, including notebooks, jobs, workflows, and Unity Catalog.
• Experience with Delta Lake and its capabilities for building data lakes.
• Strong understanding of data warehousing concepts, data modeling, and relational databases.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
• Experience with version control systems like Git.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
  
  

Preferred Qualifications (Optional):

• Experience with other big data technologies like Kafka, Flink, or Hadoop ecosystem components.
• Knowledge of data visualization tools.
• Understanding of DevOps principles and CI/CD pipelines for data engineering.
• Relevant certifications in Spark or Databricks.
  
  

About Encora :

Encora is the preferred digital engineering and modernization partner of some of the worlds leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encoras technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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