Senior Data Engineer, PowerBI, Data Integration
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Job Description
Senior Data Engineer shaping data analytics and solutions at 3Pillar Global. Collaborating with teams and clients to drive impactful data engineering projects.
Responsibilities:
- Collaboration with U.S-based client stakeholders on solution design/definition. Identify solutions that solve business problems, translating requirements into technical specifications and actionable work.
- Writing code and implementing the proposed solutions
- Creating data pipelines, versioning and change management
- Manage the complexity inherent in versioned data pipelines
- Develop ETL/ELT processes to help extract and manipulate data from multiple sources.
- Design, build and maintain batch or real-time data pipelines in production.
- Automate data workflows such as data ingestion, aggregation, and ETL processing.
- Logging and instrumentation of pipelines and services.
- Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
Requirements:
- Demonstrated expertise with a minimum of 5+ years of experience as data engineer or similar role
- Advanced SQL skills and experience with relational databases and database design.
- Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.).
- Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries
- Experience with Big Data technologies like Spark, Map Reduce, Hadoop, Hive etc
- Proficient in data pipeline and workflow management tools e.g. Airflow
- Experience with data visualization tools like PowerBI, Tableau, AWS QuickSight etc
- Experience with the AWS/Azure/GCP data engineering services
- Knowledge of AWS services viz., S3, Lambda, EMR, GLUE ETL, Athena, RDS, Redshift, EC2, IAM
- OR
- Knowledge of Azure services viz., ADF, Azure Synapse Analytics, ADLS Gen2, Azure SQL DB
- Very good exposure of working on Data Lakes & Data Warehouses solutions
- Excellent problem-solving, communication, and organizational skills.
- Proven ability to work independently and with a team.
- Ability to guide other data engineers.
- High level of English proficiency required to interact directly with U.S-based client.
Benefits:
- Medical Insurance benefits as per company policy.
- Life Insurance as per company policy
- 15 days of paid vacation plus additional days based on tenure
- Vacation bonus as per local law
- Sick leave and paid holidays as per local law
- Profit sharing as per local law
- Paternity and maternity leave as per as per local law
- Marriage, bereavement and graduation leaves as per company policy
- Christmas bonuses as per local law
- Work from home allowance as per company policy
- Punctuality and attendance bonuses as per company policy
- Food tickets as per company policy
- Direct deposit of payroll.
- Paid professional certifications
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