Sr/Lead Big Data Developer - Day 1 Onsite

We are hiring Bigdata Developer who can go to onsite on day 1 to Mettawa IL. Interested candidates submit the resume with Linkedin and Visa copy.

Job title: BIG DATA DEVELOPER(Day 1 Onsite)

Having 12+ yrs exp. in Big Data, Pyspark, AWS

Experience 11to15yrs

Required Skills Technical Skills- ,Azure DevOps,PySpark,Big Data,AWS Domain Skills- ,Sales & Marketing

Technology Data Management

Roles & Responsibilities

• Candidate with 12+ years of Big data experience and a strong understanding of specified functional areas.
• At least 10+ years of experience in a several data Engineering roles such as Big-data developer, ETL developer, data analyst, and/or solution developer of Enterprise applications.
• Experience with Cloudera CDH/ CDP and ecosystem tools (SQL, scala, Spark, Impala, Hive, Hue, Hadoop,SparkSQL etc.), Oracle, Teradata, python, Shell-Script, Dev Ops and Amazon Web Services (S3 etc.) preferred.
• Planning, building, and running enterprise class information management solutions across a variety of technologies (Big Data, data profiling, ETL batch processing, streaming etc).
• Curating content to support the key business initiatives.
• Working with data scientist and data analysts across functional disciplines.
• Demonstrate high proficiency across a wide range of technologies and platforms related to software design and development, programming languages, data integration, data warehousing, data analysis and cloud environments.
• Highly autonomous and productive in performing activities, requiring only minimal direction from or interaction with supervisor. Keeps key stakeholders informed through effective verbal and written communication.
• May mentor/supervise a team of one or more and guide and evaluate the performance of those individuals is accountable for the effective performance of the team.
• Ensuring appropriate security and compliance policies are followed for information access and dissemination.
• Defining and applying information quality and consistency business rules throughout the data processing lifecycle.
• Collaborating with information providers to ensure quality data updates are processed in a timely fashion.