Senior Data Engineer

Senior Data Engineer

Location: Chennai, India

Datawarehouse, SQL, Snowflake, Python, Any ETL tool (Talend, Informatica, etc.), AWS, Glue

Context of this role in Elsevier

Elsevier is an information & analytics company with the mission of “Helping Researchers & Healthcare Professionals Advance Science & Improving Health Outcomes for the Benefit of Society”. The sales teams drive a significant proportion of Elsevier’s revenue and ensuring the reporting is correct plays a key part in incentivising the workforce.

This role is within the Sales & Marketing Technology group of the Digital Business Solutions unit of Elsevier Technology department, focusing on Sales and Sales Operations Business Intelligence. Sales BI team supports data pipelines and a data warehouse for providing analytics on Salespeople’s opportunity pipelines, actual sales, quota, forecasts, Sales operations, insights about customers, Elsevier products usage, etc. Data is ingested from various diverse sources, modelled, and transformed using Talend / Glue / DBT tools and stored within Sales data mart hosted in Snowflake platform. Users of data warehouse are analysts across various business functions using our data for their reporting using Tableau or further analysis using tools such as Knime.

If you are a data engineer with a track record of working on ETL data warehousing systems with strong SQL knowledge & programming language experience in Java or Python; and if you have a passion for working on the latest data engineering cloud-based technologies such as AWS, Snowflake, DBT this is the right role for you.

We promote a healthy work/life balance across the organization and provide numerous wellbeing initiatives like parental leave, holistic wellbeing through Employee Assistance Program (EAP), Headspace and wellness toolkits.

Purpose of your role

We are seeking a Senior Data Engineer with good experience in building ETL and data pipelines. As a Senior Data Engineer, you will be designing data-based solutions - typically across multiple systems; mentors more-junior members of the team; and talks to business stakeholders and translates their requests into solutions. The role will require performing complex research, design, and software development assignments, and provides direct input to project plans, schedules, and methodology in the development of cross-functional data solutions. This role involves working closely with product owners, architects, various technology teams, Dev Ops, and data analysts for developing new data pipelines and supporting existing data pipelines. Your success will ultimately be measured by the effectiveness, reliability and performance of the analytics and their contribution to ensuring the best outcomes for our business. 

Your most important qualities

• Strong analytical and problem-solving skills with the ability to collect, organize, analyse, and disseminate information with attention to detail and accuracy.
• Good communication skills that allow for effective communication across all levels of the organization
• Strong interpersonal skills with the ability to form relationships across the business.
• Exceptional organizational and time management skills.
• Broad understanding of software development methodologies, platforms, tools, and languages.
• Leadership and mentoring skills would be an advantage.

Recommended experience

• Solid experience in data warehousing, ETL and SQL area
• Must have good knowledge of Data Warehousing principles, database modelling & design.
• Must have strong experience in SQL and experience of handling data with programming languages (Java or Python)
• Must have experience of working with ETL tools and processes (Talend, Glue, Airflow preferred).
• Preferred candidate with experience of working in Agile development and working with CI/CD tools (such as Jenkins).
• Preferred candidates with experience of working in cloud environments, such as AWS, Snowflake
• Nice to have experience of working on Jira and Confluence tools.

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