Data Engineering Lead Job Opportunity at Accellor

Welcome to Accellor, headquartered in Silicon Valley with additional offices in London, Hyderabad, and Singapore. As a Microsoft Gold Partner and a premier Salesforce Partner, we utilize best-of-breed cloud technology to deliver superior customer engagement and business effectiveness for our clients. Our expertise spans across Financial, Retail, High Tech, Healthcare, and Retail industries, providing end-to-end Salesforce implementation and robust third-party app integrations.

At Accellor, we pride ourselves on our acclaimed recognition, including the prestigious “Company of the Year” award for "Excellence in IT Services" at the Indo Global Business Excellence Awards. Our team is predominantly based in Hyderabad, delivering top-tier cloud solutions to customers across the US, UK, and APAC regions. We cultivate an environment that fosters curiosity, continuous learning, and perseverance, encouraging our employees to grow and explore their interests.

Key Responsibilities

1. Building a High-Performing Data Platform: Assist in creating a state-of-the-art data platform to support reporting tools and analytics, focusing on optimizing data models for performance.
2. Data Tools Development: Develop data tools for analytics and optimize data models. Evaluate and communicate the benefits and drawbacks of different modeling approaches.
3. Production Data Pipelines: Design and construct production data pipelines within a big data architecture, incorporating continuous delivery practices for deployment and support.
4. Understanding Data Enterprise Applications: Gain a comprehensive understanding of data enterprise applications, including unified ID, de-duplication, classification, and aggregation models. Identify and prioritize data sources.
5. Data Quality Integration: Integrate data quality practices into daily tasks and the delivery process, ensuring data quality throughout the data life cycle.
6. Database Experience: Work with relational SQL databases and NoSQL databases, such as Redshift or cloud-based OLAP databases like Snowflake. Handle data ingestion from various sources and formats, including Rest APIs, flat files, logs, SQL, and NoSQL databases.

Job Requirements

• Minimum 7 years of experience as a Data Engineer.
• Proficiency with Big Data, DataLake, Databricks, Synapse, PySpark, Spark, Azure Data Factory (ADF), and analytics tools like Power BI, Tableau, and SQL Server.
• Excellent communication and interpersonal skills, with direct client interaction experience.
• Exposure to ETL tools and Data Warehouses (a plus).
• Experience in designing relational, multidimensional, and Master Data Management systems.
• Desirable experience in designing and implementing end-to-end cloud data engineering solutions, preferably on Azure or any other cloud platform.

Employee Benefits

• Exciting Projects: Engage with leading global brands across High-Tech, Communication, Media, Healthcare, Retail, and Telecom industries.
• Collaborative Environment: Develop your skills by collaborating with a diverse team in an open, laid-back environment, or even abroad in our global centers.
• Work-Life Balance: Enjoy flexible work schedules, opportunities for remote work, and paid time off and holidays, all aimed at enhancing your work-life balance.
• Professional Development: Benefit from our Learning & Development team's regular training sessions on Communication Skills, Stress Management, Professional Certifications, and Technical and Soft Skills.
• Excellent Benefits: Receive competitive salaries, family medical insurance, personal accident insurance, periodic health awareness programs, extended maternity leave, annual performance bonuses, and referral bonuses.

Apply for this position to become a part of Accellor's success story.

Company Name: Accellor
Job Title: Data Engineering Lead