Data Engineer Noida

• 4-8 years of experience building and/or operationalization of the systems for data extraction, ingestion, and processing of large data sets both using batch and streams
• Understanding of Data architectures like Lambda/Kappa
• Experience with modern data warehousing tools such as Redshift, Snowflake, Big Query, Snowflake, Azure Synapse align with some visualization experience using Tableau, Power
  
  BI.
• Experience with building Data lake, Data Lakehouse using Data bricks and/or Snowflake
• Experience on building fast-data systems using streaming technologies like Apache Flink, Kafka, Spark Streaming
• Good exposure on Data Governance, Data Quality
• Hands‑on experience with Python, SQL and No
  
  SQL query language along with data warehouse design and maintenance
• Experience working with data orchestration tools such as Airflow, Luigi, AWS Step Functions, Segment
• Experience on at least one of the cloud provider : AWS, GCP, Azure
• Experience on the Data mesh paradigm is good to have.
• Strong attention to detail, analytical mindset, and highly organized
• Ability to work independently within the policies, processes, and procedures defined for the team
• Desire to work in a fast‑paced startup atmosphere requiring constant learning
• Strong technical aptitude and demonstrated ability to quickly evaluate and learn new technologies
• Strong interpersonal skills, with the ability to work independently and within a team environment

• Develop new ETL processes to fulfill the data needs of data science and other departments
• Utilize expertise in data modeling, ETL architecture, and report a design for department initiatives
• Produce detailed documentation including data flow diagrams, logical diagrams, and physical diagrams as needed
• Ensure the data collection pipeline and data analysis infrastructure meet the needs of the business
• Acquire strong knowledge of data structures, analysis, replication, and distributed/relational data & database mapping
• Work on systems involving high volume (read petabytes) and high velocity data
• Assist with the code review process for purposes of learning, asking new questions, and finding errors (read billions per day)
• Lead the team of talented Data Engineers and drive the solution and delivery
• Assist with the development of new scripts, KPIs, and dashboards
• All other duties as assigned

• We train, nurture and promote.
• Competitive salary package from the start.
• Mix culture teams to learn and perform every day.
• Health Insurance Coverage for you and your family.
• Structured and Employee Friendly policies.
• Work Life Balance is on our mind, 10 holidays & more than 30 paid leaves in an year.

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