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Senior Data Engineer (Spark & Python Specialist) -
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General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Required Skills and Experience
Collaboration & Leadership
Required Qualifications
Why youll love working for the company
They believe in taking care of their team and creating an environment where you can thrive. As part of their company, youll enjoy:
- Senior-Level Spark: 6+ years of experience with Spark/PySpark, with the ability to diagnose performance bottlenecks via the Spark UI and optimize complex DAGs.
- Advanced Python: Strong proficiency in production-grade Python, with experience building reusable libraries and implementing automated testing.
- SQL Proficiency: Solid T-SQL skills to accurately interpret and migrate existing logic into the new Python-centric environment.
- Azure Synapse Analytics & Dedicated SQL Pools: Solid experience working within Azure Synapse, specifically with Dedicate SQL Pools and Data Factory working with complex pipelines
- Data Lakehouse Expertise: Hands-on experience with Delta Lake and Parquet, specifically in high-volume environments.
- Agnostic Mindset: Experience working with open-source standards and containerization (Docker) to ensure data workloads can be ported across different cloud infrastructures.
- Collaborative Engineering: Proven track record of working within a team to successfully deliver and modernize large-scale data workloads.
- Ensure high levels of security, compliance, and data governance across data engineering processes.
Collaboration & Leadership
- Work closely with data scientists, analysts, and business stakeholders to understand data requirements and develop solutions that meet business objectives.
- Lead initiatives to enhance data engineering capabilities, introduce new technologies, and drive best practices.
- Mentor junior engineers, conduct code reviews, and contribute to building a culture of technical excellence.
- Communicate effectively with technical and non-technical stakeholders, translating complex data concepts into actionable insights.
Required Qualifications
- Bachelors degree in computer science, Information Systems, Engineering, or a closely related field.
Why youll love working for the company
They believe in taking care of their team and creating an environment where you can thrive. As part of their company, youll enjoy:
- Flexible Working Arrangements: Whether youre a night owl or an early bird, the company offers hybrid and remote options to suit your lifestyle
- Comprehensive Benefits: From a wellness program to home office reimbursements and continuous learning opportunities, the company has got you covered.
- Team Culture: Fun team-building activities, regular socials, and a supportive, inclusive culture that values transparency, accountability, and work-life balance.
- Performance Incentives: Competitive salaries, ESOP, and reco
https://www.executiveplacements.com/Jobs/S/Senior-Data-Engineer-Spark--Python-Specialist-Rem-1271982-Job-Search-03-16-2026-04-10-43-AM.asp?sid=gumtree
Id Subtitle 1352331618
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Executive Placements
Selling for 1 year
Total Ads5.05K
Active Ads5.05K
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5.05KTotal Ads
12.94MTotal Views
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Education:Minimum of 4-year tertiary degree in Computer Science, Mathematics, Statistics, Data Science or related fieldMasters Degree in a Data Science, AI/ML, Statistical or related field (preferred)MBA or Masters (advantageous)Experience:5 or more years of relevant work experience as a Data Engineer/ Data Scientist46+ years applied data science; 2+ years owning production AI/ML.At least 3 years experience within a non-traditional FinTech, Banking or Financial Services SectorExperience in Data Science and Data Analysis with a specific focus on AI/ ML models within banking, finance and/or telecommunications industryProven delivery of automated decisioning (recommendation/propensity/fraud/forecasting) with quantified business impact.Experience in Data Engineering within banking or financial services industryUnderstanding of enterprise-scale systems and technologies used in data infrastructuresExperience of working in an Agile/DevOps environmentGitHub or GitLab experience for CI/CDConsistent improvement CI/CD applications for collaborations and enhancement to drive develop once and deploy to many mindset through container repositoriesProficiency in working with Python and its relevant libraries SAS or R / Scala for data clean up and advanced data analyticsWorking knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE)Demonstrated experience utilizing software tools to query and report data and being software agnosticHighly proficient in database management systems like Postgres, Oracle, Mongo, MSSQLExperience in data analysis and management, business performance management and/or reporting within the financial sector or banking industryExperience working in a medium to large organizationExperience in ecommerce and electronic payment business is advantageousExperience working across global locations/ regions and have a grasp of political, social, infrastructure and integrity challenges
https://www.jobplacements.com/Jobs/M/Manager-Data-Science-1271726-Job-Search-03-13-2026-10-31-29-AM.asp?sid=gumtree
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