Optimizely is hiring Senior Data Engineer 2023
Job Responsibilities:
- Create and maintain optimal data pipeline architecture
- Assemble, analyze and organize large, complex data sets that meet functional / non-functional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Snowflake and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Assist the data science team by preparing data for prescriptive and predictive modelling
- Collaborating with the data architects, analysts and scientists on the team
Optimizely is known for content, commerce, and optimization with our Digital Experience Platform (DXP). Millions of experiences are served with our platform every single day, helping organizations grow exponentially online. We have the honor of serving some incredible customers – which makes what we do extremely rewarding. Optimizely has over 9,000 brands, from global organizations such as Visa, Sky, Yamaha, and Wall Street Journal to tech innovators like Atlassian, DocuSign, FitBit, and Zillow.
Location:
BangladeshBenefits
- Best-in-class compensation plans
- Two annual festival bonuses
- Reward and recognition programs
- Paid Maternity (16 weeks) & Paternity Leave (12 weeks)
- Unlimited vacation days and flexible working hours in a hybrid environment
- Medical & life insurance for employees and dependents
- Volunteering and opportunities to give back
- Monthly and quarterly regional and global team-building events
- Chance to work with our incredible global team all over the world
- Communal transport facilities inside Dhaka and free catered lunch when we return to office
- An agile performance review process that encourages ongoing transparency between managers and direct reports
- Enablement program and soft skill training to support internal career growth and development
- A free “Hacking day” per month for self-studying and researching any IT-related subjects
- An annual performance-based increment
Eligibilities
Job Requirements:
- 5+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
- Experience with building data pipelines and applications to stream and process datasets
- Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
- Knowledge of Engineering and Operational Excellence using standard methodologies.
- Expertise in designing systems and workflows for handling Big data volumes
- Knowledge of data management fundamentals and data storage principles
- Strong problem-solving skills and ability to prioritize conflicting requirements.
- Excellent written and verbal communication skills and ability to succinctly summarize key findings.
- Experience working with AWS Big Data Technologies (EMR, Redshift, S3)
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent
For Further Queries
Visit the official link
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