Job Title: Senior Data Engineer Location: PAN India Experience: 5+ years Notice Period: Immediate Joiner preferred Job Description: Responsibilities will include expanding and updating the production runbook as new functionality added and processes are finetuned Establish and maintain runbooks for the data processes Establish and maintain data quality and data technical controls Identify data process performance improvements Interpreting data and analyzing results Perform Incident management activities Stakeholder communication and SLA management Monitor data integrity data processing and coordinate corrective actions when necessary Ensuring data integrity by verifying and cleaning data Perform root cause analysis on production failures on data processes Creating detailed reports of findings and presenting these to relevant stakeholders Produce operational metrics around production data processes Collaborate with cross functional teams to identify opportunities for process and policy improvements Collecting and interpreting data from multiple sources Analyzing data to discover trends patterns and insights using SQL and data analytical tools Support and align efforts to meet customer and business needs across Finance Identify and resolve performance issues to optimize database performance and enhance overall system functionality Actively participate in driving strategy on data platform and data products Monitoring progress and results recognizing and capitalizing on improvement opportunities and adapting to competing demands organizational changes and new responsibilities Preferred Background Skills: Strong experience using Cloud based data architecture and implementation Strong experience using SQL and data management concepts Experience with data warehousing and ETL processing using Snowflake AWS S3 AWF Glue or similar Cloud technologies Experience in workload automation tools Apache, Airflow, Control M Experience in performance tuning and optimization of database queries Experience working on medium scale projects as well as handling day to day operational requests from the business Must be proficient in phases of project management lifecycle and agile methodology Experience in data analytics tools Power BI Cognos etc Ability to foster strong relationships Strong communication skills Strong analytical and problem-solving skills Excellent communication and documentation skills Must Have Skills : Application Support( L1 / L2 Support) , Python, PySpark, Airflow, Snowflake, SQL.
Job Title
Senior Data Engineer