Data Engineer Snowflake

5 - 7 years

12 - 17 Lacs

Posted:Just now| Platform: Naukri logo

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Job Type

Full Time

Job Description

US Shift
Key Responsibility Area:
( Specifies Key Result Areas for the Incumbent )
o Engage with clients to precisely identify and fulfill their data engineering needs.o Lead and manage special projects to meet strategic goals. o Develop advanced models with Snowflake and SSIS to enhance data accuracy and utility. o Continuously refine data processing rules and procedures for optimal results. o Design and implement scalable data architectures using Snowflake. o Maintain and enhance data pipelines, integrating new data sources and APIs as needed. o Monitor and ensure high data quality across systems for reliable decision-making. o Utilize SSIS for efficient data extraction, transformation, and loading processes. o Leverage Informatica knowledge to improve data management capabilities. Eligibility Criteria: (Skill set required to do the job- Knowledge, Tools, Technical Knowledge, Certifications etc.)
o Demonstrated expertise in SQL and strong proficiency in programming languages such as Python.o Extensive experience in designing, building, and maintaining robust data pipelines and complex data architectures. o Prior experience with Informatica or equivalent ETL tools, providing a significant advantage. o In-depth understanding of ETL processes, data modeling techniques, and data warehousing principles. o Familiarity with big data frameworks like Hadoop or Spark, adding value to the role. o Strong knowledge of data serialization formats including Parquet, Avro, and JSON, essential for efficient data processing and storage. o Exceptional analytical skills, adept at problem-solving and technical troubleshooting. o Excellent communication and interpersonal skills, essential for effective client engagements and team collaboration. o Proven ability to independently manage multiple projects, demonstrating strong organizational and leadership skills. o Relevant professional certifications in Snowflake, SSIS, Informatica, or comparable data management technologies are highly reg

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