Big Data Lead

HEXAWARE • United States,

21h • Hybrid

About The Position

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed. Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance. With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles. At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together. We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

Requirements

• 6+ Years hands on knowledge on SQL as well as SQL/NoSQL databases.
• Proficient in programming languages such as Python, PySpark, Scala and Java
• Experience with Spark , Databricks.
• Working knowledge of XML, ETL, API and Web Services.
• Experience with integration of data from multiple data sources.
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.
• Knowledge of various ETL techniques and frameworks, such as Flume.
• Experience with various messaging systems, such as Kafka or RabbitMQ.
• Experience with building stream-processing systems, using solutions such as Storm or Spark-Streaming.
• Working knowledge and experience in Big data services in one of the Cloud Provider will be good (AWS or Azure or GCP).
• Experience in leading offshore teams.
• BE/Btech in Computer Science, Engineering or relevant field.

Nice To Haves

• Great opportunities to learn various tools and technologies used in sophisticated data architecture within the Business Intelligence and Analytics Data Services.
• Gives an opportunity to showcase candidates’ strong analytical skills and problem-solving ability.
• An outstanding opportunity to re-imagine, redesign, and apply technology to add value to the business and operations.
• Grow into a Technical architect role over a period.

Responsibilities

• Design & Implement Data ingestion and Data lakes-based solutions using Big Data Technologies.
• The Tech Lead should be highly proficient in the use of Big Data / Open-Source Technologies and standard techniques of Data Integration, Data Manipulation.
• Should be able to design and develop cost efficient and performant data pipelines in the cloud platform.
• Create data environment to support our data analytics, reporting and data science teams.
• Experience with integration of data from multiple data sources.
• Knowledge of various Data Pipeline techniques and frameworks.
• Performance optimization - need to monitor the complete process and apply necessary infrastructure changes to speed up the query execution.
• Efficient data ingestion - Discovering patterns in data sets with data mining techniques and using different data ingestion APIs and inject data into the data lake as per need.

Benefits

• excellent growth opportunities
• chances to collaborate with highly visible customers
• chances to work alongside bright brains
• perfect work-life balance
• access to a vast array of tools that enhance, revolutionize, and advance professional profile
• wide array of programs to help expand skills and supercharge careers

What This Job Offers

• Job Type: Full-time
• Career Level: Senior