Job Title: Data ETL Developer (Informatica, Hadoop, Snowflake)Experience: 7 years
About the Role:We are seeking a highly skilled Data ETL Developer to design, develop, and maintain ETL processes essential for extracting, transforming, and loading data into our cloud data warehousing solution, Snowflake. The ideal candidate will have extensive experience with ETL tools, the Hadoop ecosystem, and data modeling, and will play a key role in ensuring the highest standards of data quality and governance.Software Requirements:
- Proficiency in ETL tools such asInformatica (PowerCenter, Cloud)
- Strong experience with theHadoop ecosystem(HDFS, MapReduce, Hive, Pig)
- Expertise in cloud data warehousing solutions, particularlySnowflake
- Knowledge ofSQLanddata modeling
- Familiarity with data integration and transformation techniques
- Understanding ofdata governanceanddata quality principles
Overall Responsibilities:
- Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into Snowflake and other data warehouses.
- Collaborate with data architects and analysts to understand data requirements and ensure the timely and accurate delivery of data.
- Optimize ETL processes for performance and scalability.
- Implement data quality checks and governance policies.
- Troubleshoot and resolve data issues and discrepancies.
- Document ETL processes and maintain comprehensive technical documentation.
- Stay updated with industry trends and best practices in data engineering.
Category wise Technical Skills:
- ETL Tools : Experience with Informatica PowerCenter and Informatica Cloud.
- Big Data Technologies : Proficient in Hadoop (HDFS, MapReduce, Hive, Pig).
- Cloud Platforms : Expertise in Snowflake for cloud-based data warehousing.
- Database Management : Strong understanding of SQL and familiarity with NoSQL databases.
- Scripting Languages: Proficient in Python and Shell scripting.
- Data Modeling: Understanding of Star Schema and Snowflake Schema models.
Nice-to-Have Skills:
- Experience with data visualization tools (e.g.,Tableau,Power BI).
- Familiarity withApache Sparkfor distributed data processing.
- Knowledge ofdata lakesanddata mesh architecture.
Day-to-Day Activities:
- Design and implement ETL workflows based on business requirements.
- Monitor ETL jobs and troubleshoot any issues that arise.
- Collaborate with data analysts to provide actionable insights from data.
- Conduct code reviews to ensure adherence to best practices.
- Participate in agile ceremonies including sprint planning, stand-ups, and retrospectives.
- Provide support during data migration and integration projects.
Qualifications:
- Bachelor’s degree inComputer Science,Information Technology, or a related field.
- Relevant certifications in ETL tools or data engineering (e.g.,Informatica,Snowflake) are a plus.
Soft Skills:
- Stronganalyticalandproblem-solving skills.
- Effectivecommunicationandcollaboration skills.
- Attention to detail and commitment to delivering high-quality results.
- Ability to work independently and as part of a team-oriented environment.
- Flexibility to adapt to changing priorities and technologies.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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