Data Engineer - Python/Scala @ Kec International

Job Description

Must have :
- 4+ years of experience in ETL or Data Engineering role.
- Hands-on coding experience in PySpark and SQL.
- Have worked on the Hadoop ecosystem.
- Comfortable coding in Scala-spark/Python.
- Bachelor's degree in a technical field (Computer Science degree preferred not mandatory); Master's degree is a plus.
- Working knowledge of Relational Database Management Systems (RDBMS) like Oracle, Teradata, SQL server etc.
- Expertise in building data pipelines in Big data platforms; Good understanding of Data warehousing concepts
- Knowledge of Pyspark, Shell scripting, SQL, Python & some of the standard data science packages (Pandas, Numpy, etc.).
- Strong verbal and business communication skills.
- Strong business acumen & demonstrated aptitude for analytics that incite action.
Good to have :
- Experience with analytics background client.
- Working knowledge of cloud platforms (GCP exposure would be a plus).
Job Responsibilities :
- Collaborate with project stakeholders (client) to identify product and technical requirements. Conduct analysis to determine integration needs.
- Use different data warehousing concepts to build a data warehouse for reporting purpose.
- Build data pipelines to ingest and transform the data into our Data platform
- Apply best approaches for large scale data movement, capture data changes and apply incremental data load strategies
- Develop, implement and tune large-scale distributed systems and pipelines that process large volume of data
- Assist Data Science / Modeling teams in setting up data pipelines & monitoring daily jobs.
- Develop and test ETL components to high standards of data quality and act as hands-on development lead.
- Oversee and contribute to the creation and maintenance of relevant data artifacts (data lineages, source to target mappings, high level designs, interface agreements, etc.).
- Ensuring that developer responsibilities are being met by mentoring, reviewing code and test plans, verifying that design best practices as well as coding and architectural guidelines, standards, and frameworks are adhered to by offering guidance, communicating risk, and addressing roadblocks as they arise.

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Keyskills:   sql java data warehousing informatica python big data sql server data science data quality shell scripting data engineering coding experience