Senior Big Data Engineer

3 weeks ago

Hyderabad, Telangana, India Findernest Software Services Pvt Ltd Full time
Job Title: Senior Big Data Engineer

About the Role:

At Findernest Software Services Pvt Ltd, we are seeking a highly skilled Senior Big Data Engineer to join our team. As a Senior Big Data Engineer, you will play a crucial role in designing, developing, and maintaining scalable big data solutions. This role is essential in harnessing the power of data to drive informed business decisions and strategic initiatives.

Key Responsibilities:

• Design and implement big data solutions using technologies such as Hadoop and Spark.
• Design, develop, deploy, and maintain scalable software solutions.
• Build and manage large data lakes and data warehouses (e.g. Snowflake, Redshift, Synapse).
• Develop and optimize data pipelines for processing high volumes of data.
• Work with AWS resources including Kinesis, EMR, Glue, SQS, Lambda, etc.
• Collaborate with cross-functional teams within an Agile framework (Scrum).
• Ensure the performance, scalability, and reliability of data solutions.
• Lead medium to large-scale projects that align with strategic business objectives.
• Develop and maintain ETL processes to acquire and process large volumes of data.
• Optimize and tune the performance of big data applications and platforms.
• Collaborate with data scientists and analysts to understand data requirements and deliver appropriate solutions.
• Conduct data modeling to ensure efficient storage and retrieval of data.
• Implement and manage data security and privacy measures.
• Identify and address data quality issues and ensure data accuracy.
• Contribute to the development of data governance practices and standards.
• Stay updated on emerging big data technologies and recommend potential solutions.
• Provide technical leadership and mentorship to junior team members.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven 7+ years of experience in developing and maintaining big data solutions.
• Strong experience with SQL and NoSQL databases.
• Proficient in data warehousing and data lake architecture.
• Experience with Snowflake or similar data warehousing technologies.
• At least 2 years of experience in deploying and maintaining software in public cloud environments like AWS or Azure.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of Hadoop ecosystem including HDFS, MapReduce, YARN, and Hive.
• Experience with real-time data processing frameworks like Kafka or Storm.
• Ability to design and optimize data storage and retrieval processes.
• Expertise in ETL tools and processes.
• Familiarity with cloud-based big data solutions such as AWS EMR or Azure HDInsight.
• Excellent problem-solving and analytical skills.
• Effective communication and teamwork abilities.

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